119 phd-computer-architecture-"Meta"-"Meta" Fellowship positions at University of British Columbia
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development and target discovery challenges. Qualifications: PhD in bioengineering, computational biology, machine learning, systems immunology, or related discipline, obtained within the last 5 years, by
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discovery challenges. Qualifications: PhD in bioengineering, computational biology, machine learning, systems immunology, or related discipline, obtained within the last 5 years, by the time of
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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 fellow will be responsible for: Building collaborations with our multidisciplinary team (medical physicists, engineers, computer scientists, nuclear medicine physicians) to develop and implement innovative
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imaging QUALIFICATIONS Successful applicants will have: a PhD in medical physics, computer science, biomedical engineering, electrical engineering, applied mathematics, or a related field; or an MD with
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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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to start doctoral studies in Chemistry, Physics, Electrical Engineering or Computer Science. Fellowships will initially be for one year, but may be extended for a second year. Eligibility Applicants
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the PRODIGY program Requirements: ● a PhD in physical oceanography, or related field, by the time of appointment ● experience working with ocean observations, or a keen willingness to learn; note specific
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. The candidate should be independent and have the ability to develop and pursue new, creative research ideas. The position is funded through the NSERC Discovery Grants program. Qualifications PhD and related