920 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at McGill University in Canada
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: Interdisciplinary Cancer Sciences Program - 00631 (Interdepartmental Studies – Medicine) Course Title and Course Number: EXMD 635 D2 - Experimental and Clinical Oncology Estimated Number of Positions: 1 Total Hours
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Program (QEP); theories and practices of teacher education, including approaches to preparing and supporting preservice and in-service teachers; issues related to practicum, mentorship, and teacher
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. Work closely with collaborators to align imaging, molecular, and therapeutic validation efforts. Qualifications PhD in Computational Biology, Genomics, Neuroscience, Biomedical Engineering, or related
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: Desautels Faculty of Management Position Summary: Providing support to Students and Professors as well as maintenance of Faculty computer labs. Other Qualifying Skills and/or Abilities • Providing support in
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technology development. As one of Montreal's Top Employers, here is what we offer: Competitive benefits package (Health, Dental, Life Insurance) (if eligible) Defined contribution pension plan (with employer
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: MBA degree is required. Experience : Academic research experience in retailing; or Industry experience in retailing or technology required. Other : Prior experience in teaching MMR courses and/or
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, Technology and Democracy at McGill University is seeking a highly skilled and results-driven PhD-level Academic Associate to join our team in a full-time role as our Policy Research Lead. In this role, you
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of Sociology is searching for eligible candidates as Teaching Assistants for the Winter 2026 term. Applicants must be students registered in a McGill MA or PhD graduate program in the Winter 2026 term . Verify
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of the simulation, number of students, etc.) Develop a timeline tailored to the needs of each type of course. (HPA, IBL, NP program) Track Standardized patients hours use according to the SP budget. Plan
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generated datasets; - Construct phenotype data tables from raw data; - Build and maintain reproducible data analysis scripts, algorithms and pipelines that utilize Compute Canada's parallel computing