74 computer-programmer-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of British Columbia in canada
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seeking a full time (1.0 FTE) Postdoctoral Research Fellow with implementation science training and experience to perform research within a collaborative research program focused on knowledge translation
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within the Food, Nutrition and Health Program (Dietetics Program), with an anticipated started date of September 1, 2026. The position is expected to support the students and curriculum delivery
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Program. The lab also actively collaborates with national and international partners in the fields of: Hereditary cancer biology; Oriented cell division mechanisms; Pediatric leukemia and breast cancer
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of Pediatrics, and the Michael Cuccione Childhood Cancer Research Program. The lab also actively collaborates with national and international partners in the fields of: Hereditary cancer biology; Oriented cell
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Cancer Research Program. The lab also actively collaborates with national and international partners in the fields of: Hereditary cancer biology; Oriented cell division mechanisms; Pediatric leukemia and
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relevant discipline. Minimum of three years of related experience, or the equivalent combination of education and experience. Preferred Qualifications: Graduation from a program specializing in project
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Mass Spectrometry and provide, as a single PDF: - current curriculum vitae - cover letter explaining how you meet the required skills and attributes (max 2 pages) - proposed research program using metal
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Information Systems and Technology, Level B Job Title Computational Biologist Department Huntsman Laboratory MEDG | Department
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seeking a full-time (1.0 FTE) Postdoctoral Research Fellow for a one-year (renewable) appointment. The individual will have outstanding quantitative skills to lead analyses on our ageing research program
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lead an independent research program in computational oncology, centred on new quantitative and machine-learning methods that integrate single-cell genomics and spatial profiling to study cancer