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harmonize different data streams. Lead and co-author manuscripts, reports, and presentations. Collaborate with interdisciplinary and international research partners. Qualifications PhD (completed or near
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spearhead data integration and analysis of a growing multi-‘omic dataset designed to study healthy aging, Parkinson’s Disease, and other age-related conditions. ORGANIZATIONAL STATUS The CMMI is a large
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computational approaches for high-dimensional data analysis. https://www.epelmanlab.com/ http://www.uhnresearch.ca/researcher/slava-epelman @EpelmanLab This role has direct mentorship and guidance in grant
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Qualifications Successful candidates will have PhD completed within the last 5 years in computer science, data science, biomedical engineering, computational linguistics, medical informatics, or a related
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therapeutic strategies to promote these beneficial immune states. Position Overview The Postdoctoral Fellow will lead multi-omic data generation, integration, and analysis to dissect immune–tumour interactions
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
statistical analysis of large clinical data. A curious, collaborative, and cross-disciplinary mindset. Good subject knowledge and experience in cell culture will be a plus. Proficient in English (oral and
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data and assist in protocol development Prepare manuscripts and contribute to grant proposals Present research at conferences and mentor trainees Education: PhD in Biomedical Engineering, Molecular
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community partners. Please visit our websites for more information about the BCCVH (https://www.bcvulvarhealth.ca/ ) and Dr. Bouchard’s research lab (https://phaselab.med.ubc.ca/ ). Dr. Katrina Bouchard is a
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 2 months ago
10 Jan 2026 Job Information Organisation/Company The University of British Columbia (UBC) Research Field Medical sciences » Medicine Engineering » Biomedical engineering Computer science Engineering
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deadlines. Skills: Background in horticulture, plant genomics, large-scale data analysis, or programming skills is preferred. Demonstrated experience in population genetics using genome-wide genetic marker