From diana.le at mcgill.ca Fri Dec 3 09:54:23 2021 From: diana.le at mcgill.ca (Diana Le) Date: Fri, 3 Dec 2021 14:54:23 +0000 Subject: [BIC-announce] Next session on December 8! - NeuroHub Q&A Sessions for Researchers - Fall 2021 Session Message-ID: Our last session for the Fall semester will be on December 8!! Book your personal Q&A session today! We hope to see you there! Diana Le Project Administrator, NeuroHub Montr?al Neurological Institute, Faculty of Medicine and Health Sciences | McGill University 1010 Sherbrooke, Suite 1800, Montr?al (Qu?bec) H3A 2R7 https://neurohub.ca | support at neurohub.ca NeuroHub Q&A Sessions: Fall Session NeuroHub is pleased to announce our new personal Q&A Sessions which will allow you to have a 15 min direct call with NeuroHub members to answer your questions. The sessions will be held every second Wednesday between 1:00 - 3:00 p.m. Attendees are welcome to bring any and all questions related to NeuroHub and how it can be used in your research activities. The first session will be held on November 10, 2021. Prospective and current NeuroHub users are welcome! Example questions : * What types of data can be collected and stored within NeuroHub? * How would a research group go about storing their data within NeuroHub? * How is that data managed, accessed and shared? * How can researchers access large datasets such as the UK Biobank using NeuroHub? * Are there open science datasets that are accessible within NeuroHub? * What data processing tools, pipelines and analysis tools are available in NeuroHub? How are those tools accessed and used? * What tools for machine learning are available in NeuroHub? Want to book a meeting? Please book your private timeslot here. If you cannot make any of the times available, reach out to our support email to book another time. For more information about NeuroHub, view the NeuroHub website or contact the NeuroHub support team at support at neurohub.ca. -------------- next part -------------- An HTML attachment was scrubbed... URL: From sarah.mccabe at mail.mcgill.ca Fri Dec 3 15:03:27 2021 From: sarah.mccabe at mail.mcgill.ca (Sarah McCabe) Date: Fri, 3 Dec 2021 20:03:27 +0000 Subject: [BIC-announce] MRI 3.0 December 9th Scanning time Message-ID: Hi all, Unfortunately we had a last minute cancellation with a participant for December 9th from 8:45am-10:45am. We will no longer be needing this time spot. Does anyone need this scanning time next week? If so, I can be contacted at this email. Thank you! Have a great weekend, Sarah McCabe -------------- next part -------------- An HTML attachment was scrubbed... URL: From sylvain.baillet at mcgill.ca Fri Dec 3 15:20:08 2021 From: sylvain.baillet at mcgill.ca (Sylvain Baillet) Date: Fri, 3 Dec 2021 20:20:08 +0000 Subject: [BIC-announce] How Brainstorm does it. Message-ID: Hi everyone, We're initiating a monthly series of open office consultations about "How Brainstorm Does It? (everything EEG, multiscale e-phys, NIRS, MEG, MRI/CT integration, tissue segmentation, BIDS handling, etc.) starting: Wed, Dec 08, 11:30AM EDT. Come with your tough questions, analysis conundrums, ideas for new software features & we'll be glad to help out (BST team @ Neuro/McGill, MIT, USC. UT Houston, etc.). Please reply to this email for Zoom link and spread the word! Best to all, Sylvain. - Sylvain Baillet, PhD Professor, Montreal Neurological Institute McGill University @sylvain_baillet | visit out lab -------------- next part -------------- An HTML attachment was scrubbed... URL: From tbrown at research.baycrest.org Mon Dec 6 16:27:07 2021 From: tbrown at research.baycrest.org (Tanya Brown) Date: Mon, 6 Dec 2021 22:27:07 +0100 Subject: [BIC-announce] How Brainstorm does it. In-Reply-To: References: Message-ID: I would be interested in getting the zoom link in order to help spread the word! Many thanks Tanya On Fri, Dec 3, 2021 at 21:31 Sylvain Baillet wrote: > Hi everyone, > > We're initiating a monthly series of open office consultations about "How > Brainstorm Does It? (everything EEG, multiscale e-phys, NIRS, MEG, MRI/CT > integration, tissue segmentation, BIDS handling, etc.) > > starting: Wed, Dec 08, 11:30AM EDT. > > Come with your tough questions, analysis conundrums, ideas for new > software features & we'll be glad to help out (BST team @ Neuro/McGill, > MIT, USC. UT Houston, etc.). > > Please reply to this email for Zoom link and spread the word! > > Best to all, > > Sylvain. > - > Sylvain Baillet, PhD > Professor, Montreal Neurological Institute > McGill University > @sylvain_baillet | visit out lab > > > > > _______________________________________________ > BIC-announce mailing list > BIC-announce at bic.mni.mcgill.ca > https://mailman.bic.mni.mcgill.ca/mailman/listinfo/bic-announce > -- Tanya Brown Program Manager - The Virtual Brain Rotman Research Institute | Baycrest 3560 Bathurst St, Toronto, ON, M6A 2E1 416-785-2500 x 2782 tbrown at research.baycrest.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From aura.gonzalezramirez at mail.mcgill.ca Wed Dec 8 17:27:39 2021 From: aura.gonzalezramirez at mail.mcgill.ca (Aura Gonzalez Ramirez) Date: Wed, 8 Dec 2021 22:27:39 +0000 Subject: [BIC-announce] How Brainstorm does it. In-Reply-To: References: Message-ID: Thank you! I would like to have the zoom link Best Aura Gonzalez Epilepsy fellow ________________________________ De: bic-announce-bounces at bic.mni.mcgill.ca en nombre de Sylvain Baillet Enviado: viernes, 3 de diciembre de 2021 15:20 Para: bic-announce at bic.mni.mcgill.ca Cc: NeuroCommunications Asunto: [BIC-announce] How Brainstorm does it. Hi everyone, We're initiating a monthly series of open office consultations about "How Brainstorm Does It? (everything EEG, multiscale e-phys, NIRS, MEG, MRI/CT integration, tissue segmentation, BIDS handling, etc.) starting: Wed, Dec 08, 11:30AM EDT. Come with your tough questions, analysis conundrums, ideas for new software features & we'll be glad to help out (BST team @ Neuro/McGill, MIT, USC. UT Houston, etc.). Please reply to this email for Zoom link and spread the word! Best to all, Sylvain. - Sylvain Baillet, PhD Professor, Montreal Neurological Institute McGill University @sylvain_baillet | visit out lab -------------- next part -------------- An HTML attachment was scrubbed... URL: From jbpoline at gmail.com Wed Dec 15 10:35:44 2021 From: jbpoline at gmail.com (JB Poline) Date: Wed, 15 Dec 2021 10:35:44 -0500 Subject: [BIC-announce] Fwd: AI + Biology: AI Innovation Fellowship in Machine Learning led by MIT Graduates In-Reply-To: <1639580759501.0b209ac8-8ca4-46da-b163-0c0cbcc62394@bf07x.hubspotemail.net> References: <1639580759501.0b209ac8-8ca4-46da-b163-0c0cbcc62394@bf07x.hubspotemail.net> Message-ID: FYI : AI-biology fellowships JB ---------- Forwarded message --------- From: Adeesh Goel Date: Wed, Dec 15, 2021 at 10:12 AM Subject: AI + Biology: AI Innovation Fellowship in Machine Learning led by MIT Graduates To: Interdisciplinary AI Innovation Fellowship Opportunity for McGill University students, led by Stanford and MIT Graduates Hi Jean-Baptiste, I hope this message finds you well! My name is Adeesh Goel, and I'm the Program Head at AI Innovators , an educational program committed to introducing artificial intelligence to the next generation of researchers and professionals across disciplines, especially in biology. From protein interaction prediction to genome sequencing, we believe AI pushes the boundaries of your field. I'm reaching out to you, as a trusted leader in the Biology department at McGill University, to share an interdisciplinary AI Fellowship opportunity for your students. Applications for our Spring 2022 cohort are now open. Our course, AI Innovators, developed and taught by MIT and Stanford graduates, invites students this spring quarter to gain an endorsed technical skillset and complete a shareable AI project. I would appreciate it if you would be willing to share the short program description below with your undergraduate or graduate students that you think may benefit. If you have any questions, please don't hesitate to reach out. Thank you so much for your support! Warm Regards, Adeesh Goel Program Head, Inspirit AI adeesh at alumni.stanford.edu AI + Biology: AI Innovation Fellowship in Machine Learning The AI Innovation Fellowship in Machine Learning equips students with state-of-the-art machine learning techniques like Regression, Classification, Unsupervised Learning, Natural Language Processing, Neural Networks, and Convolutional Neural Networks. Leveraging these new tools, students build out a professional portfolio with a capstone project, AI + X, that draws on students' unique interest and domain expertise. Students can use AI as a building block for scientific exploration and fashion unique research directions? developing approaches at the intersection of AI and Biology to broaden their understanding and intellectual impact to this domain. Adapt AI techniques to explore problems in DNA sequencing and drug discovery. Students will create computational solutions for the expanding world of biological problems. For more information, please visit inspiritinnovators.com . A pplications are now open. If you have any questions, please feel free to contact Adeesh Goel at adeesh at alumni.stanford.edu or call +1 (803) 859-5855. Inspirit AI, 530 Lytton Avenue, Palo Alto, California 94301 Unsubscribe Manage preferences -------------- next part -------------- An HTML attachment was scrubbed... URL: