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The Postdoctoral Fellowship program provides support for highly qualified postdoctoral fellows to engage in research that is in an area of clear relevance to arthritis and Arthritis Society Canada’s
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of Biomedical Engineering (SBME). The successful candidate will work on advanced machine learning applications in computational pathology, medical imaging, and clinical text analysis. They will be expected
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academic disciplines are encouraged to apply, including—but not limited to—philosophy, theology, psychology, sociology, political science, law, literature, and the arts. The program is open to U.S. and
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probability, partial differential equations, and mathematical physics. In statistics, these include biostatistics, optimal design, computer experiments, sequential analysis, shape-constrained inference, time
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computational scientists and part of local and national collaborations. You will have direct access to state-of-the-art cell and molecular biology facilities, mouse and chicken chorioallantoic membrane (CAM
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, computer science, and interdisciplinary journals and conference proceedings. Presenting technical results at academic conferences and industry meetings. Presenting research to Indigenous communities and
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow - High Precision U-Pb Geochronology Department Research | Prytulak | Department of Earth and Ocean Sciences
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 20 hours ago
assistance program. Application Consideration Bargaining unit employees (PSAC 86001) are given priority consideration. All other applications will be considered when there is no qualified candidate from
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. in bioinformatics, computer science, computational biology, or a related field, obtained within the last 5 years by the time of the appointment start date. Strong experience in deep learning applied
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publications Being part of the new Nutrien Centre for Digital and Sustainable Agriculture Education: Ph.D. in Plant Science, Environmental Science, Soil Science, Geography, Bioresources, Computer Science