942 engineering-computation-"https:"-"https:"-"https:"-"https:" positions at McGill University
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, biochemistry, microbiology, molecular biology, and an understanding of basic engineering principle is an asset. Good knowledge and experience in Lab environment Team spirit, initiative, good judgment, and
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mathematics (statistics) Background in educational technology and experience with online courses Knowledge of French may be required Before applying, please note that to work at McGill University, you must be
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matter of the course Background in mathematics (statistics) Background in educational technology and experience with online courses Background in Education for Teacher-Education Courses Knowledge of Zoom
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», Prof. Michael Jemtrud. Qualifications: Background in architectural and/or engineering design, sustainable design practices. Expérience en conception architecturale et/ou technique, pratiques de
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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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publications. Qualifying Skills: Strong academic background in ecology, environmental science, geography, engineering, or a related field (Master’s degree completed or equivalent). Proficiency in at least one of
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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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, or technology communication. Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus
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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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. Work closely with collaborators to align imaging, molecular, and therapeutic validation efforts. Qualifications PhD in Computational Biology, Genomics, Neuroscience, Biomedical Engineering, or related