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<strong>Two MSc/PhD positions in Computational Neuroscience</strong></div>
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The Cognitive Neuroscience and Artificial Intelligence Lab (CogNeuroAI Lab) at the University of Western Ontario in Canada, Department of Computer Science & the Brain and Mind Institute (BMI) has two MSc/PhD position openings in the field of cognitive computational
neuroscience to start in January or May 2020. The positions offer a competitive stipend for the graduate students. The nature of these positions will provide the graduate students with opportunities to work on interdisciplinary collaborative projects.</p>
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We are looking for motivated students to join exciting projects in our lab in developing cutting-edge computational methods to analyze brain MEG/EEG/fMRI data. We also train state of the art compute vision models and compare human brain MEG/EEG/fMRI data with
inter units of the models. Please contact us if you are interested in cutting-edge interdisciplinary research.</p>
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Candidates should have at least a Bachelors or Masters degree in Biomedical Engineering, Neuroscience, Computer Science or related fields. Having good programming skills in MATLAB, Python, and deep learning frameworks like Pytorch and experience in machine
learning, compute vision, neuroscience experiments or brain data analysis will be a plus. Though there are lots of opportunities to learn these skills as well. Applicants should submit a cover letter, resume, a brief summary of the current and past research
experience, TOEFL/IELTS (for international students only), official/unofficial master and bachelor academic transcripts to Dr. Yalda Mohsenzadeh (ymohsenz@uwo.ca). Please send all your documents as a single PDF file. Applications will be considered until the
positions are filled.</p>
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See our website for more information: <a href="https://mohsenzadehlab.com/" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" id="LPlnk381401" style="margin: 0px; padding: 0px; border: 0px; font: inherit; vertical-align: baseline;">https://mohsenzadehlab.com/</a><br>
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