24 data-science "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" Fellowship research jobs at University of British Columbia in canada
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drugs, and related ontologies. • Design components of the AI pipeline for enrichment and reasoning over technical life sciences data using large language models (LLMs). • Manage the storage and retrieval
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Fellow - Protein Engineering and Biomaterials Department Research | Li Lab | Department of Chemistry | Faculty of Science
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data analysis and programming (Igor Pro, Python, MATLAB, etc.). Prior experience with molecular biology or protein biochemistry (cloning, expression, purification) is highly desirable but not mandatory
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, agroecology, conservation decision-making, data science/data management) is required Experience working in and knowledge about sustainable agricultural systems/agroecology/agroforestry/ecosystem services
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Faculty of Science (Jim Sun) Posting End Date September 25, 2026 Note: Applications will be accepted until 11:59 PM on the Posting End Date. Job End Date October 31, 2027 The expected pay for this position
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discipline (landscape ecology, spatial ecology, agroecology, data science/data management) is required Experience working in and knowledge about sustainable agricultural systems/agroecology/agroforestry
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satisfactory performance. Preferred Qualifications: Scientific : A PhD with expertise in a relevant discipline (landscape ecology, spatial ecology, agroecology, data science/data management) is required
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information and support, please visit UBC’s Centre for Workplace Accessibility website at https://hr.ubc.ca/health-and-wellbeing/workplace-accessibility/centre-workplace-accessibility or contact the Centre
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social science field A record of independent research design, execution, and publication of results Knowledge of the Canadian agricultural sector and the Canadian policy landscape Strong commitment to, and
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working at the intersection of uterine health, gynecologic oncology, computational biology, clinical informatics, and artificial intelligence. The lab develops and applies innovative data science and AI