74 computer-programmer-"https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of British Columbia in canada
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Cooper and other senior research staff. This position will also provide the candidate with excellent opportunities for growth in the field of clinical research. To learn more about the research program
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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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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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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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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