11 assistant-professor-computer-science-data-"https:"-"https:" Postdoctoral positions at McGill University
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Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position
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Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position
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Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position
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time) Location: Maass Chemistry Bldg Supervisor: Professor Position Start Date: 2026-03-01 Position End Date: 2028-02-29 Deadline to Apply: McGill University hires on the basis of merit and is strongly
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Hours per Week: 35 (Full time) Location: Sherbrooke 680 Supervisor: Assistant Professor (Professional) Position Start Date: 2025-06-01 Position End Date: 2026-08-31 Deadline to Apply: McGill University
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Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position
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in Prof. Reza Salavati's lab, at Macdonald Campus, McGill University. Position Summary: The postdoc will contribute to the D2R (Data-to-Reality) applied research program aimed at developing novel data
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both verbally and in writing. Annual Salary: $50,000.00 Hours per Week: 35 (Full time) Location: Maass Chemistry Bldg Supervisor: Professor Position Start Date: 2026-01-01 Position End Date: 2026-12-31
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the materials science and manufacturing related to steel. The postdoc should have experience in the physics of materials and advanced computing. Qualifications: PhD in related field Annual Salary: $63,500.00
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spatio-temporal generative models, and multimodal foundation models—including vision-language MLLMs and agentic AI frameworks—for longitudinal MRI and clinical data. Fellows will help build next-generation