71 proof-checking-postdoc-computer-science-logic Postdoctoral research jobs in Canada
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degree in public health, health sciences, geography, urban planning, epidemiology, computer science or a related field. Applicants who do not have a completed Ph.D. at the time of application must include
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chemistry research Write up results for publication Present their work at conferences Help to manage a team of junior researchers Qualifications: PhD in Chemistry Before applying, please note that to work
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, and work in collaboration with other team members; Train new graduate students; Contribute to group duties and help others; Qualifications: PhD in Chemistry Before applying, please note that to work
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science, SECCM, and electrochemical instrumentations. Qualifications: PhD in Chemistry Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 2 months ago
in biomedical engineering, physics, computer science, optical engineering, opto-mechanics, or microscopy; or alternatively have demonstrated proficiency in developing microscopy or optics tools as
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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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Experimental Subatomic Physics, Electronics Engineering, or related fields. Relevant research experience with digital electronics and firmware programming. Excellent verbal and written communication skills in
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you can make a difference. Salary Information: $65,000 - 76,000 Benefits Information: TRIUMF paid dental, extended health, vision care, emergency travel assistance, Employee Assistance Program (EAP
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on campus, so candidates with Canadian status will be given preferences. Qualifications: A PhD degree in Economics, Marketing, Biostatistics/Statistics, or a related field, strong computing/programming and
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: - To lead the computational part of a collaborative project on AI-assisted design of OPVs - To become knowledgeable in the field of OPVs and the relevant simulations - To learn relevant machine learning