14 machine-learning-postdoc-"https:" "Naturalis" Postdoctoral positions at McGill University
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for further information on eligibility criteria: http://www.mcgill.ca/gps/postdocs/fellows/registration/eligibility . ** Any offer to non-Canadian citizens/non-permanent residents is contingent on the candidate
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information on eligibility criteria: http://www.mcgill.ca/gps/postdocs/fellows/registration/eligibility . ** Any offer to non-Canadian citizens/non-permanent residents is contingent on the candidate obtaining a
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link these to mechanical properties. To be done in partnership with Hydro-Québec. The potdoc will develop both advanced computing and numerical analysis skills, as well as acquire new knowledge in
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the date on which their PhD was awarded, regardless of when they are hired. Be sure to refer to the following link for further information on eligibility criteria: http://www.mcgill.ca/gps/postdocs/fellows
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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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of supplies, managing chemical and drug inventories, managing animals and maintaining records including tissue and bio banks The RA will work directly with and support students, postdocs and other members
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McGill University, Physics Position ID: McGill-Physics-POSTDOC [#30771] Position Title: Position Type: Postdoctoral Position Location: Montreal, Quebec H3A 2T8, Canada [map ] Subject Area: Nuclear
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) microscopy, FLIM, STED, lattice lightsheet microscopy, fluorescence correlation spectroscopy (FCS), image processing and analysis and spectral imaging. More information about the ABIF can be found at: http
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inverse modeling methods, machine learning, and artificial intelligence techniques. Appointment Details: Start date: As early as March 1, 2026. Annual Salary: $55,000 Application review: Ongoing until
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA