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March 30, 2027 At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and
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, applicants should consult: the MINDS Policy Challenges , which represent key issue areas where DND and the Canadian Armed Forces (CAF) could benefit from external expertise to challenge or complement
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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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package valued at $175,000 in the first year and $102,000 in the second year, which includes a salary, research budget, housing allowance, space and more. Learn more about benefits and perks here . Runway
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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
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-doctoral researchers and experienced professionals to conduct research, teach, or undertake a combination of both activities for one semester or a full academic year at any university or research center
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field. Demonstrated experience with single-cell and/or spatial transcriptomic analysis (Scanpy, Seurat, Squidpy, etc.). Strong programming proficiency in Python and R; experience with machine-learning
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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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February 15, 2027 At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and