29 parallel "Computer Vision Center" "Computer Vision Center" "Computer Vision Center" Fellowship research jobs in Canada
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Qualifications • PhD completed within the last 5 years in Computer Science, Data Science, Computational Biology, or a related field. • Experience in data engineering, AI/ML systems development, or related
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translation activities. Mentor junior trainees and research staff within the lab . Required Qualifications PhD in computer science, clinical informatics, statistics, or a closely related field, conferred
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context of the study and receive mentorship from psychology faculty on the research team. No specialized knowledge of or skills in AI or computer science is required for this position . The successful
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, dynamical systems, free probability, partial differential equations, and mathematical physics. In statistics, these include biostatistics, optimal design, computer experiments, sequential analysis, shape
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Computational Biology, Bioinformatics, Genomics, Systems Biology, Computer Science, Biomedical Engineering, Molecular Biology, or a related discipline. · Demonstrated research productivity in
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required. Minimum Qualifications: Successful applicants will have: · A recent PhD in Computational Biology, Bioinformatics, Genomics, Systems Biology, Computer Science, Biomedical Engineering, Molecular
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Simon Fraser University | Burnaby (Cascade-Schou / Douglas-Gilpin), British Columbia | Canada | about 6 hours ago
. Qualifications Excellence in research is the primary selection criterion. Applicants should: * Hold a PhD in mathematics, applied mathematics, computer science, atmospheric science, physics or a closely
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Hold a PhD degree in a natural sciences or engineering (NSE) discipline (includes computer science and mathematics). Secure a supervisor (and co-supervisor, if applicable) who has a full-time
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow Department UBCO | Faculty | Department of Computer Science, Mathematics, Physics and Statistics | Irving K. Barber
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systems Working knowledge of ecological (especially landscape ecology) research methodology and advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses, such