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available involves conducting data analyses for a project that focuses on understanding health disparities among migrant youth populations. The analysis will require advanced complex sample statistical data
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. Experience or understanding of TCR sequencing and repertoire analysis; familiarity with single-cell data integration is a plus. Demonstrated interest in synthetic biology, tissue engineering, or immune system
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transportation operations and network modelling, accessibility analysis, data analysis (statistics and/or machine learning methods), and spatial mapping. Because the work will involve multiple years of daily
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pages) 2. Cover Letter (1 page) 3. Description of Current Research (1 page) 4. Proposed Research Direction aligned with ACET (1 page) 5. Contact information for two academic references (referees will be
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Direction aligned with ACET (1 page) 5. Contact information for two academic references (referees will be contacted only if shortlisted) To learn more about the ACET initiative, please visit: https
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single PDF file 1. Curriculum Vitae (max 5 pages) 2. Cover Letter (1 page) 3. Description of Current Research (1 page) 4. Proposed Research Direction aligned with ACET (1 page) 5. Contact information
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your research interests and fit for the position Curriculum vitae with publication list Contact information for 3 academic references Applications should be submitted via UBC Workday Careers. For any
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, engineers, computer scientists, nuclear medicine physicians, …) towards the overall aim of enabling translational and physician-in-the-loop AI for medical imaging. Our research team is multicultural and
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the time of the appointment start date. Demonstrated expertise in current deep learning techniques (especially GNNs and/or RL) applied to biological data. Experience with spatial transcriptomics or single
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research proposals and implementing data collection and analyses. Share findings with health system and community partners (through meetings, summary briefs, presentations), present at public health and