From lynda.bray at mcgill.ca Thu Jan 7 13:02:42 2021 From: lynda.bray at mcgill.ca (Lynda Bray, Ms.) Date: Thu, 7 Jan 2021 18:02:42 +0000 Subject: [BIC-announce] FW: [NEURO] POSTPONED- Neuro Event: January 7, 4 pm - Special Seminar: "Mapping Drivers of Pathological Cognitive Aging using PET and MRI" In-Reply-To: <0FF5AFDF-5015-4D9A-B1DE-986D71FE8E61@mcgill.ca> References: <0FF5AFDF-5015-4D9A-B1DE-986D71FE8E61@mcgill.ca> Message-ID: From: neuro On Behalf Of NeuroEvents Sent: January 7, 2021 12:10 PM To: NEURO at LISTS.MCGILL.CA Subject: [NEURO] POSTPONED- Neuro Event: January 7, 4 pm - Special Seminar: "Mapping Drivers of Pathological Cognitive Aging using PET and MRI" Dear Colleagues, Due to unavoidable circumstances, Dr. Anazodo will not be delivering the scheduled talk today at 4pm. We will endeavor to re-schedule her presentation to another date and time. Thank you for your understanding. Regards, Julien Doyon Director, McConnell Brain Imaging Centre, The Neuro [The Neuro's logo] [Twitter] [Facebook] [Instagram] [LinkedIn] [YouTube] [Events Banner] [cid:image008.png at 01D6E4EE.001B8040] Thursday, January 7, 2021 (postponed) 4:00 - 5:00PM EST Zoom (Registration Required) Speaker: Udunna Anazodo, PhD PET/MRI Physicist and Principal Investigator, Lawson Health Research Institute, London, Ontario Talk abstract Premature or pathological cognitive aging is a leading cause of disability in older adults, often diagnosed at late and intractable stages of brain disorders (Alzheimer?s disease and other dementias). It is not clear why some older adults have symptoms suggestive of pathological cognitive aging and others don?t. Decades of research in cognitive aging point to a myriad of factors (biological, environmental -physical, psychosocial, and cultural- etc.) and precipitating events (injury including ischemic infarcts) that paint a picture of the complex processes and pathways associated with the initiation and development of pathological cognitive aging. Recent evidence suggest that these factors and events ubiquitously activate a triad of complex biological pathways that act separately or together to exert numerous biological effects that could culminate in accelerated and progressive cognitive decline. Vascular dysfunction - the breakdown in vessel wall structure and function -, oxidative stress, and inflammation are ubiquitous pathways that are activated systemically in almost all tissues in response to stress, trauma, infection, or injury, and more importantly are independently linked to the pathogenesis of Alzheimer?s disease and other dementias. This talk will highlight emerging PET and MRI tools developed by my group to map the sequential and/or synergistic interactions of these key drivers of pathological cognitive aging in brains of live humans and animal models. And introduce ischemic heart disease post-myocardial infract as a novel disease model for mapping associations of these common drivers of tissue degeneration with known and emerging risk factors for accelerated cognitive decline ? a new approach to understanding the initiation and development of pathological cognitive aging. To register: Eventbrite Host: Julien Doyon, Director, McConnell Brain Imaging Centre, The Neuro Contact : Sasha Kelly [cid:image009.png at 01D6E4EE.001B8040] [cid:image010.png at 01D6E4EE.001B8040] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: image010.png Type: image/png Size: 47223 bytes Desc: image010.png URL: From lynda.bray at mcgill.ca Fri Jan 8 11:16:30 2021 From: lynda.bray at mcgill.ca (Lynda Bray, Ms.) Date: Fri, 8 Jan 2021 16:16:30 +0000 Subject: [BIC-announce] Job posting at the Douglas Message-ID: The Department of Psychiatry at McGill University and the Douglas Cerebral Imaging Centre invite applications for a full-time Assistant Professor (Research) in the field of Magnetic Resonance Imaging (MRI) with an emphasis on MRI physics, high-level computational methods, and/or experimental neuroscience. The successful applicant will hold an academic appointment as a member of the Contract Academic Staff. This position does not confer eligibility for tenure. job opening up at the Douglas at the Cerebral Imaging Centre: https://mcgill.wd3.myworkdayjobs.com/en-US/mcgill_careers/job/Pine-1033/Assistant-Professor--Research---C3-201216----Magnetic-Resonance-Imaging-Scientist_JR0000006975 -------------- next part -------------- An HTML attachment was scrubbed... URL: From sylvain.baillet at mcgill.ca Fri Jan 8 16:06:15 2021 From: sylvain.baillet at mcgill.ca (Sylvain Baillet) Date: Fri, 8 Jan 2021 21:06:15 +0000 Subject: [BIC-announce] Fwd: Neurology Grand Rounds - Wednesday January 13 References: Message-ID: <62882F5C-38D5-4B23-B2AB-3A56731C75D7@mcgill.ca> FYI - of special interest to the BIC community. Best wishes, Sylvain. - Sylvain Baillet, PhD Professor, Montreal Neurological Institute McGill University @sylvain_baillet | new lab website Begin forwarded message: From: Neurology - Neurosurgery > Subject: Neurology Grand Rounds - Wednesday January 13 Date: January 8, 2021 at 3:50:03 PM GMT-5 To join this Zoom meeting, please register in advance: https://mcgill.zoom.us/meeting/register/tZUocu-sqT0jGd2Tt0lAQDubGz8FkEsG6AJb After registering, you will receive a confirmation email containing information about joining the meeting. [cid:image002.jpg at 01D6E5D5.EBBCC4E0] McGill University?s Department of Neurology & Neurosurgery: NEUROLOGY GRAND ROUNDS Reza Forghani, MD, PhD Associate Professor, Department of Radiology Emerging role of Artificial Intelligence in Neuroimaging and Precision Patient Care Wednesday, January 13, 2021 Via Zoom 8:30am ? 9:30am Register in advance for this meeting: https://mcgill.zoom.us/meeting/register/tZUocu-sqT0jGd2Tt0lAQDubGz8FkEsG6AJb After registering, you will receive a confirmation email containing information about joining the meeting. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.jpg Type: image/jpeg Size: 5786 bytes Desc: image002.jpg URL: From estrid at gmail.com Tue Jan 12 15:33:22 2021 From: estrid at gmail.com (Estrid Jakobsen) Date: Tue, 12 Jan 2021 15:33:22 -0500 Subject: [BIC-announce] Fwd: Launch of the Art of Imaging Competition 2020-2021 In-Reply-To: References: Message-ID: ---------- Forwarded message --------- From: QBIN Date: Tue, Dec 1, 2020 at 11:25 AM Subject: Launch of the Art of Imaging Competition 2020-2021 To: Estrid Jakobsen Submit your images for a chance to win! QBIN is pleased to announce the launch of the first annual *Art of Imaging Competition* *Images by Yuankang Lu, Nahid Babazadeh Khameneh, and Ilana Leppert & Christine Tardif* Do you have an interesting, impressive, or beautiful scientific image that you would like to share with a wider audience? Images are a powerful means of teaching and communicating, and an excellent way to reach a broad and diverse audience to increase the impact and awareness of scientific research. In the field of bio-imaging, we are lucky to produce data that is often inherently ripe with aesthetic and scientific value. Even images that are not necessarily visually beautiful can be intriguing, captivating, and can stimulate curiosity or other emotions. This year, we are launching the first Annual Art of Imaging Competition , with prizes awarded to the best submitted images. From microscopy to MRI, we want to showcase the wide variety of topics covered by our network?s members to spark curiosity and inspire viewers to learn more about bio-imaging research conducted in Quebec and around the world, and how it impacts their lives. *Two prizes will be awarded for the best submitted images*: The People?s Choice Award will be selected by online popular vote, and the Jury Award will be selected by a panel of QBIN committee members. *Winners will be awarded $200* as well as the opportunity to have their image included in our next live exhibition (learn more about our previous exhibitions here ). *Submission deadline: January 31st, 2021* Submit your images here *Eligibility and submission criteria* - To submit an image, you must be a QBIN member - The image must have been acquired/created using a bio-imaging method in the context of the author?s research. - The image should be created in high resolution (at least 1080x1080 pixels). - The image should be accompanied by a brief description (100-200 words) of its meaning and scientific value written for a lay audience. - You must have the right/permission to share the image for noncommercial purposes. - The image may be edited or processed, as long as the editing does not compromise its scientific integrity. - The image may represent unconventional forms of beauty. For example, an image can be intriguing, stimulate curiosity or other emotions, without being visually beautiful. The purpose is to engage the public through captivating images. - There is no limit on the number of images that may be submitted by a single contestant. - Note: If you have previously submitted an image to our Art of Imaging initiative after January 1st, 2020, and you meet our eligibility criteria, your submission will be automatically included in the competition. [image: Twitter] [image: Link] [image: Facebook] [image: YouTube] [image: Website] You are receiving this email in English because you selected English as your preferred language when you became a QBIN member. To subscribe to the French version, you can update your preferences. -- **************** Estrid Jakobsen, PhD Communications Officer | Agente de communication Quebec Bio-imaging Network | R?seau de Bio-Imagerie du Qu?bec -------------- next part -------------- An HTML attachment was scrubbed... URL: From lynda.bray at mcgill.ca Thu Jan 14 10:46:45 2021 From: lynda.bray at mcgill.ca (Lynda Bray, Ms.) Date: Thu, 14 Jan 2021 15:46:45 +0000 Subject: [BIC-announce] Neuro Procedure: Updated Research Brain Scanning Procedures as of January 12 Message-ID: [The Neuro's logo] [Twitter] [Facebook] [Instagram] [LinkedIn] [YouTube] [alt_text] January 13, 2021 Neuro Procedure Updated Research Brain Scanning Procedures as of January 12 While McGill, including The Neuro, operate under the current red zone restrictions, some limited research with in-person human participants will be allowed to continue. Research with in-person human participants is allowed only if: 1. Human participants do not have to travel to a location for the sole purpose of participating in that research (the participants already have a valid reason for being in the particular location distinct from the research protocol), and 2. The researchers do not have to travel to multiple locations to conduct this research (that is, travelling house to house, or school to school, or organization to organization is not permitted) 3. All McGill health and safety directives are followed, and 4. When the research takes place in a different milieu than McGill, researchers obtain appropriate approval from the authorities in the milieu and follow all health and safety directives of said milieu. Therefore, brain scanning research at The Neuro may resume as indicated below. The directives below will now be reassessed on February 8 or as the situation evolves. Update Research * Any research that can be conducted remotely should be done so. * RESEARCH NOT INVOLVING HUMAN SUBJECTS Currently approved on-site research activities (not involving human subjects) may continue. * RESEARCH WITH HUMAN SUBJECTS Current on-site research with human subjects may continue with people in the following three categories: * Patients enrolled in clinical trials. * Patients who are scheduled to come in for regular care or treatment. * Patients who are scheduled to be seen by physicians on a regular basis. * Within the above three groups, subjects 70 years of age and older already coming into The Neuro for these purposes can still participate in research activities. * All in-person studies with healthy control subjects of all ages are CANCELLED until further notice. * These directives will be reassessed on February 8 or before as the situation evolves. 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Message-ID: <5A73586F-F0DA-40C1-AE8E-DA6154D59D15@mcgill.ca> Dear All: Following a successful pilot phase over 2019-20, I am pleased to announce that the MEG-Infinity scanning subscription program is being extended for another year, effective when scanning operations are authorized to resume. We have revised the terms to encourage investigators who are new to MEG to adopt the technique. In the spirit of the Neuro?s institutional policies, we continue to promote the adoption of open data sharing with significant pricing discounts. The MEG-infinity program is a subscription-based billing model that enables high-powered neuroscience research, encourages the adoption of open-science practices, and maximizes the impact of research funds. MEG-infinity offers unlimited 24/7 access to MEG scanning against the payment of a flat subscription fee, valid over a 6-month period from the first booking. The subscription is for one study, with an unlimited number of participants (cross-sectional design) and/or sessions (longitudinal design). The rates apply to MEG certified users who have been trained and approved to operate the system without assistance. The certification program requires 3 hours of data collection and training, from the study of interest, at the regular hourly rate of $500/hour. Once obtained, the certification is valid for all future studies run by the same operator. Regular 6-month subscription rates Rates with immediate data sharing in OMEGA* New MEG PI $15,000 $10,000 Returning MEG PI $25,000 $15,000 * OMEGA (the Open MEG Archives) is an open data repository managed by the BIC's MEG Unit. There is an additional $5,000 flat fee for studies that also use EEG simultaneously with MEG (up to 61 electrodes). Studies that require full assistance from our MEG staff for data collection remain at the hourly rate ($500/hour, $400/hour with user certification). Current BIC cancellation policies apply, with special attention against booking-cancelling several blocks of time at once. We foresee that the MEG-infinity program will continue to enable approaching exciting neuroscience questions concerning the neural dynamics of brain systems in health and disease, with high-powered studies yielding robust results. As always, please do not hesitate to reach out to me if you are have questions. Best wishes, Sylvain. - Sylvain Baillet, PhD Professor, Montreal Neurological Institute McGill University @sylvain_baillet | new lab website [cid:10D96DAC-7DE0-4A50-8EB1-EFB36F1E9A8C] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: MEG-Infinity 2020.jpeg Type: image/jpeg Size: 81613 bytes Desc: MEG-Infinity 2020.jpeg URL: From sylvain.baillet at mcgill.ca Thu Jan 14 11:24:57 2021 From: sylvain.baillet at mcgill.ca (Sylvain Baillet) Date: Thu, 14 Jan 2021 16:24:57 +0000 Subject: [BIC-announce] Unlimited scanning with MEG-Infinity - reloaded. Message-ID: *** with correct pricing and my apologies. ? Dear All: Following a successful pilot phase over 2019-20, I am pleased to announce that the MEG-Infinity scanning subscription program is being extended for another year, effective when scanning operations are authorized to resume. We have revised the terms to encourage investigators who are new to MEG to adopt the technique. In the spirit of the Neuro?s institutional policies, we continue to promote the adoption of open data sharing with significant pricing discounts. The MEG-infinity program is a subscription-based billing model that enables high-powered neuroscience research, encourages the adoption of open-science practices, and maximizes the impact of research funds. MEG-infinity offers unlimited 24/7 access to MEG scanning against the payment of a flat subscription fee, valid over a 6-month period from the first booking. The subscription is for one study, with an unlimited number of participants (cross-sectional design) and/or sessions (longitudinal design). The rates apply to MEG certified users who have been trained and approved to operate the system without assistance. The certification program requires 3 hours of data collection and training, from the study of interest, at the regular hourly rate of $500/hour. Once obtained, the certification is valid for all future studies run by the same operator. Regular 6-month subscription rates 25% discount, with immediate data sharing in OMEGA* New MEG PI $15,000 $11,250 Returning MEG PI $25,000 $18,750 * OMEGA (the Open MEG Archives) is an open data repository managed by the BIC's MEG Unit. There is an additional $5,000 flat fee for studies that also use EEG simultaneously with MEG (up to 61 electrodes). Studies that require full assistance from our MEG staff for data collection remain at the hourly rate ($500/hour, $400/hour with user certification). Current BIC cancellation policies apply, with special attention against booking-cancelling several blocks of time at once. We foresee that the MEG-infinity program will continue to enable approaching exciting neuroscience questions concerning the neural dynamics of brain systems in health and disease, with high-powered studies yielding robust results. As always, please do not hesitate to reach out to me if you are have questions. Best wishes, Sylvain. - Sylvain Baillet, PhD Professor, Montreal Neurological Institute McGill University @sylvain_baillet | new lab website [cid:10D96DAC-7DE0-4A50-8EB1-EFB36F1E9A8C] _______________________________________________ BIC-announce mailing list BIC-announce at bic.mni.mcgill.ca https://mailman.bic.mni.mcgill.ca/mailman/listinfo/bic-announce -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: MEG-Infinity 2020.jpeg Type: image/jpeg Size: 81613 bytes Desc: MEG-Infinity 2020.jpeg URL: From lynda.bray at mcgill.ca Wed Jan 20 09:33:05 2021 From: lynda.bray at mcgill.ca (Lynda Bray, Ms.) Date: Wed, 20 Jan 2021 14:33:05 +0000 Subject: [BIC-announce] Post-doctoral fellowship in human pain imaging genomics at McGill University Message-ID: Subject: Post-doctoral fellowship in human pain imaging genomics at McGill University ? Dear colleagues, We are looking for a post-doctoral fellow to work on imaging genomics of chronic pain. We would be extremely grateful if you could circulate the ad below amongst your colleagues who could be potentially interested by that position. Best Regards, Mathieu Roy Description: The Canada Excellence Research Chair (CERC) in Human Pain Genetics at McGill (https://humanpaingenetics.org/lab/) is seeking experienced and motivated applicants to conduct research in human pain imaging genomics. The applicant would work within a dynamic team of researchers with expertise in brain imaging and genetics on projects led by Drs. Mathieu Roy, ?tienne Vachon-Presseau, and Luda Diatchenko. Our goal is to understand how genes and brain structure interact in pain chronicity and resilience from chronic pain. Research projects will leverage existing large data bases, such as the UK biobank (>20,000 patients with brain scans, genotyping, and more), as well as a CIHR-funded study on the effects of physical exercise intervention in chronic pain patients in Dr. Roy?s lab. McGill is a leading center in pain research (https://painresearchcenter.mcgill.ca), brain imaging (https://www.mcgill.ca/bic/), and genetics (https://humanpaingenetics.org/lab/), and the applicant will benefit from advanced training in all of these domains. Finally, Montreal is a vibrant university city that consistently ranks in the high top 10 of the best cities for students (https://www.topuniversities.com/city-rankings/2017). Desired skills and experience: * Ph.D. obtained or close to being obtained in a discipline related to brain imaging and/or genetics. * Must have good coding skills and capacity to work with large data bases * Must have excellent communication and technical writing skills (English). * Competitive applicants should have a record of first-authored publications in quality peer-reviewed journals. Hiring conditions: * Salary is competitive and will correspond to qualification * One-year renewable position starting in 2021. How to apply: * Please send a CV and a short motivation letter to mathieu.roy3 at mcgill.ca * Please provide a list of three references that we may contact by email Mathieu Roy Assistant Professor, dept. of Psychology, McGill University Canada Research Chair (tier 2) on brain imaging of pain. Room 760, 2001 McGill College Avenue, Mtl., Qc., Can., H3A 1G1 Tel : 514-916-3922 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ted.strauss at mcgill.ca Wed Jan 20 15:14:35 2021 From: ted.strauss at mcgill.ca (Theodore J P Strauss, Mr) Date: Wed, 20 Jan 2021 20:14:35 +0000 Subject: [BIC-announce] BIC news and events listing Message-ID: Hello BIC, At the BIC retreat in December there was a call to have a centralized place where we can post events and news, both for internal events and external events with clear relevance to the BIC. I'm writing to share the initial plan for how this will work. On the bottom of the BIC home page are two feeds: one for events and one for news. When you click 'View more' it will open the corresponding page. And there's a new 'Events' link in the main menu. You can submit your news and events on this new web form, and BIC staff will review and publish it on your behalf within 2 working days. A link to that form can be found on the 'quick reference' tab on the BIC home page. Please submit your news and events! If you have ideas to make these features work better for our community, please reply and share your ideas. Of note: * I am working with the communications office on creating a weekly email digest with upcoming events and recent news. Aiming to launch this in February. * Q: Will events posted to the BIC site also appear on the Neuro site, and vice versa? A: The goal is to have maximum flexibility so we can choose whether to share events to the Neuro site depending on the case. Thanks Ted --- Ted Strauss / Manager, Data Resources McConnell Brain Imaging Centre / Montreal Neurological Institute McGill University -------------- next part -------------- An HTML attachment was scrubbed... URL: From sylvain.baillet at mcgill.ca Thu Jan 21 18:00:47 2021 From: sylvain.baillet at mcgill.ca (Sylvain Baillet) Date: Thu, 21 Jan 2021 23:00:47 +0000 Subject: [BIC-announce] Learning/training opportunities: Data Handling & Management. Message-ID: <7CE62291-B586-4F4B-84C4-A258AD33A0DB@mcgill.ca> Dear Friends and Colleagues: From February 8-12, McGill Library's Digital Scholarship Hub will be offering workshops & events that encourage learning and reflection on data tools and practices. I have distilled their program for you a little bit to extract workshop/learning opportunities that are best aligned with our Faculty's research/data types. There is a broader offering under the link above ? highly recommended too! More info and registration under the links indicated below. Feb 08th: 10AM: Workshop, What's the deal with data? ? Register Feb 09th: 10AM: Workshop, Working with Data in Excel ? Register 2PM: Workshop, Publishing Data with the McGill Dataverse - Register Feb 10th: 10 AM: Workshop, Finding Canadian Data ? Register 2PM: Introduction to Research Data Management ? Register Feb 11th: 2PM: Infrastructure at your finger tips: Advanced Research Computing resources in Canada ? Register Feb 12th: 11:30AM: Bibliometric Analysis and Visualization using VOSviewer ? Register Questions? Contact Alisa Rod (Research Data Management Specialist, alisa.rod at mcgill.ca). Best wishes, Sylvain. - Sylvain Baillet, PhD Professor, Montreal Neurological Institute Associate Dean (Research), Faculty of Medicine & Health Sciences McGill University @sylvain_baillet | new lab website [cid:829CC6A8-FF7A-4362-A363-57AF0CCED156] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Love_Data_Week.png Type: image/png Size: 64780 bytes Desc: Love_Data_Week.png URL: From lynda.bray at mcgill.ca Tue Jan 26 08:16:36 2021 From: lynda.bray at mcgill.ca (Lynda Bray, Ms.) Date: Tue, 26 Jan 2021 13:16:36 +0000 Subject: [BIC-announce] PET modeler and Physicist Message-ID: PET Physicist and Modeler Positions The Research Imaging Centre (RIC) at the Centre for Addiction and Mental Health (CAMH) in Toronto has two full- time permanent positions, a PET physicist and a kinetic modeler. We are looking for motivated candidates to join the Image Methodology group within the RIC to develop methods, and provide strong scientific support, for both the pre-clinical and clinical PET programs in CAMH. PET Physicist The Research Imaging Centre (RIC) at the Centre for Addiction and Mental Health is seeking an outstanding candidate as PET physicist. The candidate will be expected to oversee the operation of the preclinical and clinical PET scanners in the Centre, as well as the associated auxiliary equipment (dose calibrators, automated blood sampling system and gamma-counters). The successful candidate will be responsible for the integrity of all PET and associated data, as well as working in close collaboration with the kinetic modeler, to integrate the PET data into the kinetic analysis. Some knowledge of kinetic modeling will be an asset. The successful candidate will be responsible for developing and implementing PET methodology for both the preclinical and clinical PET tomographs, and in addition, will be expected to develop appropriate solutions to overcome challenges associated with newer PET tomographs. A goal for this position is to build local, national and international collaborations, provide practical supervision of undergraduate, graduate and post-doctoral trainees and staff, as well as lead research activities and publications through extramural funding sources. The successful candidate will report to the Director of the RIC, and will work closely with faculty, fellows and students within the Centre. Applicants must possess a post-secondary degree in a discipline relevant to PET physics. Expertise in human PET tomographs is mandatory, whilst a working knowledge of preclinical systems will be considered favorably. The successful candidate will have expertise with PET tomographs, with a working understanding of system setup, calibrations and the necessary corrections required to generate quantitative data. Experience in processing PET image data, including image reconstruction and registration is expected. Experience with software development, (MATLAB, python, or another appropriate language) to address the requirements of the program at the RIC, and a knowledge of image formats (e.g. nifti, DICOM, ecat, etc.) will be considered favorably. Excellent written and communication skills are essential. The candidate must be willing to provide flexibility and the ability to adapt to a fast-paced research environment, as well as to work independently, in a highly collaborative working environment. PET Modeler The Research Imaging Centre (RIC) at the Centre for Addiction and Mental Health is seeking an outstanding candidate as a kinetic modeler with expertise in medical physics pertaining to positron emission tomography (PET). The successful candidate must have experience in kinetic modeling for neuroimaging and will be responsible for developing and applying kinetic modeling strategies to analyze and interpret preclinical and clinical PET imaging data. In addition, the successful candidate will be expected to develop appropriate solutions to overcome challenges associated with the discovery of novel radiotracers, and will work in close collaboration with the PET physicist to maintain data integrity from acquisition and through analysis. A goal for this position is to build local, national and international collaborations, provide practical supervision of undergraduate, graduate and post-doctoral trainees and staff, as well as lead research activities and publications through extramural funding sources. The successful candidate may be nominated for a faculty position in the Department of Psychiatry at the University of Toronto, and will report to the Director of the CAMH Research Imaging Centre, and will work closely with faculty, fellows and students within the Centre. Applicants must possess a PhD in a discipline relevant to PET physics and/or tracer kinetic modeling combined with 1-5 years of post- doctoral experience, depending on the research program. Whilst expertise in human PET neuroimaging imaging studies is mandatory, any additional knowledge and expertise of preclinical imaging will be considered an asset. The successful candidate will ideally have expertise in quantitative kinetic modeling of central nervous system (CNS) PET data and interpretation of kinetic modeling results, especially as it applies to novel PET tracer discovery. Experience in processing PET image data, including image registration is required. An ability to develop appropriate solutions to overcome challenges associated with the discovery of novel PET tracers for neuroimaging is essential. Experience with study design, oriented to characterize selectivity, specific signal, tissue/plasma kinetics of novel PET tracers, MATLAB, python or another appropriate software language, programming tools for data analysis, multiple image formats (e.g. nifti, DICOM, ecat, etc.) are assets. Excellent written and communication skills are essential. The candidate must be willing to provide flexibility and the ability to adapt to a fast-paced research environment, as well as to work independently, in a highly collaborative working environment. For further information please contact Peter Bloomfield peter.bloomfield at camhpet.ca (+1 416 535 8501 extension 34243) -------------- next part -------------- An HTML attachment was scrubbed... URL: