25 postdoctoral-image-processing-in-computer-science-"Prof" Postdoctoral positions at McGill University in Canada
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 19 hours ago
approaches, our overarching goal is to tackle two urgent and timely issues: 1. Survival under Heat Stress: Investigating how different organisms man age mRNA regulation to adapt and survive in the face of
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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
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the project to the advancement of sports science, and specifically endurance sports (if applicable), b) the alignment with the supervisors’ program of research, c) the resources available
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climate shocks to natural disasters. Important note: Our team does not conduct wet lab research. This is NOT a laboratory-based (bench science) fellowship. PERL operates across three core pillars: Science
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) Postdoctoral Researchers are Research Fellows recognized by the Quebec government employed at McGill with a valid Doctoral degree (PhD or MD) for a maximum of 5 years after obtaining their Doctoral Degree
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of Physical & Occupational Therapy Position Summary: The Postdoctoral fellow will be responsible for the following; Capacity building with patient partners for research. Conduct qualitative research
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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). The postdoctoral
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based in the Land & Food Lab (led by Prof. Graham MacDonald) in the Department of Geography at McGill University. Job description: The NICCEE postdoctoral researcher will contribute to developing new
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: Work on a research project in the general area of Materials and Structures reporting to Professor Damiano Pasini. Investigate and develop reprogrammable metamaterials. Computational design of
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: Post-Doc in the area of AI-based solutions for high-level decision-making for robotic systems. Development, testing and evaluation of the co-planner assistant for operation of harvester machine