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. Annual Salary: (AMURE Post-Doctoral Fellow Researcher) $48,000.00 Hours per Week: 35 (Full time) Location: Stewart Biology Bldg Supervisor: Associate Professor Position Start Date: 2025-07-04 Position End
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communication both verbally and in writing. Annual Salary: (AMURE Post-Doctoral Fellow Researcher) $48,000.00 Hours per Week: 35 (Full time) Location: Stewart Biology Bldg Supervisor: Associate Professor Position
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, optogenetics, and computational methods, this project aims to elucidate how prefrontal cortex neurons form short-term memories of reward to guide an animal’s actions. The research will examine interactions
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | about 2 months ago
, Mathematical and Computational Biology, Physics, Mechanical Engineering, Continuum Mechanics, or other equivalent discipline. Expert skills required and desirable · Must have a strong expertise in nonlinear
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, computational oncology/biology, kinetic modeling, advanced image processing. The candidate should be highly motivated with a strong interest and commitment to research. Curiosity and creativity with an aim
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 10 hours ago
addresses these fundamental challenges by employing single-molecule fluorescence microscopy to visualize mRNAs in their cellular context. Coupling these techniques with genetic and molecular biology
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: Stewart Biology Bldg Supervisor: Assistant Professor Position Start Date: 2025-05-15 Position End Date: 2026-05-14 Deadline to Apply: 2025-04-29 McGill University hires on the basis of merit and is strongly
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can take advantage of resources in the Department of Biology, Integrated Program in Neuroscience, Advanced Bioimaging Facility, and Centre for Research on Brain, Language, and Music. Outside the lab
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neuroscience and optionally molecular biology and data science. We are looking for a candidate that is driven, can leverage the lab’s existing expertise and build upon this and does not shy away from new ideas
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sciences.Tackling key problems in biology will require scientists trained in areas such as chemistry, physics, applied mathematics, computer science, and engineering. Proposals that include deep or machine learning