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applicants should have a PhD degree in Psychology, Neuroscience, Pharmacology, or related discipline with demonstrated expertise in cognitive testing, ideally cross-species and with computerized test batteries
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 23 hours ago
candidates should have a PhD in relevant fields and have a strong background in fundamental aspects of neuroscience, neurochemistry, immunohistochemistry, cellular and molecular biology, and a serious interest
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, teamwork, equity, diversity, and inclusion. Qualifications and Skills: We encourage researchers who have obtained or will soon obtain their PhD with a demonstrated track record in cellular signaling and
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PhD in biology, neuroscience or another relevant field. Please send a cover letter, current CV, and a list of 3 references to Drs Katrina Choe or Reuven Dukas at [email protected] or [email protected]
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. Ijspeert, EPFL, Switzerland) and experts in genomics (Pr. Simon, Karolinska Institute, Sweden). REQUIREMENTS: The candidate should have completed a PhD in neuroscience or a related field. The ideal candidate
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Dr. Soheila Karimi is seeking for two to three Post-Doctoral Fellows to join her neuroscience research team in the Department of Physiology and Pathophysiology, Rady Faculty of Health Science at
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the neural processing of reward. The candidate must have a PhD in computational neuroscience, psychology, cognitive science or a quantitative discipline as well as fluency in Matlab or Python and experience in
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researchers and innovators who are quite literally curing diseases, making discoveries and generating solutions that make the world healthier, safer, stronger, and more just. Working for The Neurosciences
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funded project. Qualifications: PhD in relevant biological sciences field of study (neuroscience preferred) Research expertise and hands-on experience with the following: experimental design, nucleic acid
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Zeighami PhD, Assistant Professor pf Psychiatry, Douglas Research Centre at McGill University to study the phenotypic variability of Parkinson’s disease using multi-modal datasets. Parkinson’s disease is