179 computer-science-programming-languages-"U.S"-"U.S" Fellowship positions in Canada
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Human Program and UBC’s Biodevice Foundry. Qualifications PhD in immunology, developmental biology (focused on the immune system), immune-engineering, or a related field (obtained within the last 5 years
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Applications are invited for a two-year postdoctoral fellowship supported by the collaborative research and training program Pacific Rim Ocean Data Mobilization and Technology (PRODIGY) and the
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NSF Astronomy and Astrophysics Postdoctoral Fellowships provide an opportunity for highly qualified, recent doctoral scientists to carry out an integrated program of independent research and
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Human Program (MHU), providing access to a global network of collaborators and resources at the frontier of human developmental and computational biology. This post-doctoral fellow position focuses
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
technical and software skills in STPA and BN modeling, with coding and programming skills in languages such as Python, Matlab being an asset; has knowledge of and experience with applying social science
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the CIFAR Multiscale Human Program (MHU), providing access to a global network of collaborators and resources at the frontier of human developmental and computational biology. This post-doctoral fellow
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National Teaching Fellowship was changed and it is now open to any individual currently teaching at a Canadian university or college, regardless of discipline, program, level, or term of appointment. All
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(MDRU) at the University of British Columbia (UBC) is seeking a highly motivated Postdoctoral Research Fellow (PDRF) to contribute to a multi-disciplinary research program focused on Reduced Intrusion
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
. Eric Rapaport and his team are now seeking applications for a two-year Postdoctoral Fellowship in a research program called A data-driven geospatial planning tool: understanding cumulative climate risks
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medical physics, computer science, biomedical engineering, electrical engineering, applied mathematics, or a related field; or an MD with significant research experience and deep familiarity with AI