49 algorithm-development-"Prof"-"Washington-University-in-St" Postdoctoral positions in Canada
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Vision Group (PVG) at McGill University and Mila—Quebec Artificial Intelligence Institute, led by Prof. Tal Arbel, seeks Postdoctoral Fellows to advance causal-temporal and probabilistic modeling, 3D
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: The postdoc will work under the supervision of Prof. Jason M. Harley (supervisor) at McGill University. The position offers a unique postdoctoral training experience and publishing opportunities within a multi
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | about 1 month ago
of Profs. Joseph Salfi, Jeff Young, and Lukas Chrostowski. The candidate will work on-site in cleanroom and laboratory facilities at UBC. The Blusson QMI is a world-leading venture into research of systems
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data sources such as UK Biobank and eventually come up with algorithm useable for the early detection of Alzheimer’s disease (AD) and Parkinson’s disease (PD). Nature of Work: In this project, we will
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at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar). Development of a new
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 2 months ago
tumor suppressor and complement inhibitor CSMD3. The successful candidate will join a dynamic and collaborative team dedicated to advancing the molecular understanding of cancer development and
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group members, such as post-doctoral fellows and graduate students. Perform electrochemical tests on the new materials using the new test system. Report to Prof. McCalla each week in in-person meetings
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position with a focus on quantum optics is available. Research Area: Quantum Optics Application Deadline: TBD Our research project focuses on the cutting-edge development of next-generation quantum light
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are not limited to superconducting quantum circuits, circuit QED, quantum error correction, microwave quantum optics, variational quantum algorithms, and the application of machine learning to quantum
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develop and apply advanced preclinical model systems in lymphoma—including organoids, patient-derived xenografts (PDX), and humanized mouse models—to enable functional genomic approaches and the testing