147 phd-rehabilitation-engineering-computer-science Fellowship research jobs in Canada
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-time Postdoctoral Fellow to join us at the Digital & Sexual Health Initiative (DiSHI; dishiresearch.ca), a program of research led by Dr. Mark Gilbert at the School of Population and Public Health
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at the Digital & Sexual Health Initiative (DiSHI; dishiresearch.ca ), a program of research led by Dr. Mark Gilbert at the School of Population and Public Health, University of British Columbia and the
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, enabled through digital health technologies in Africa (Kenya, Uganda + more). The Trainee will be working on a program with over 15+ years (Smart Discharges Child, Smart Discharges Mom&Baby, Smart Triage
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The Data Sciences Institute (DSI) is a central hub and incubator for data science research, training, and partnerships at the University of Toronto. Its goal is to accelerate the impact of data
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on Science, Technology and Innovation between France and Canada in 2023. The call for applications is open to the following themes: Emerging Technologies: AI, quantum, etc. Health: One health, public health
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Applications are invited for a full-time Postdoctoral Research Fellow position in the Stoeber Laboratory at the Department of Mechanical Engineering at the University of British Columbia (UBC) in
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: Machine learning/deep learning model development for biomolecular data analyses and prediction Research Area: Data science and computational chemistry Required Skills: A Ph.D. in relevant field within
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healing. The Granville research program spans basic molecular biology and biochemistry through to target validation, proof-of-concept in animal and human models, and collaborations with clinicians and
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biology for a two-year term with possibility of extension. The successful applicant will train directly under the supervision of Dr. David Granville, PhD, and will have an opportunity to develop
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that change! Qualifications The position requires a PhD degree in electrical, computer or biomedical engineering, computer science, or a closely related area. The successful candidate is expected to develop