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technologies, and computational analysis. Assist with the planning and delivery of ABIF courses, workshops, and community events. Participate in seminars, conferences, and training opportunities to maintain
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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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also works in close collaboration with CMMI investigators, bioinformaticians, laboratory personnel, and research staff. The position will provide technical supervision and mentorship to computational
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at the intersection of artificial intelligence (AI), natural language processing (NLP), digital health, and health equity. This position is funded by the UBC AI and Health Network Fellows Program. Under the supervision
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The fellowship program has an outstanding reputation for attracting the best and the brightest PhDs in the sciences and for training future leaders in Climate and Global Change Science. In FY25
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linguistic minority issues in Canada, health communication, or equity-oriented research, an asset McGill PhD or post-doctoral students preferred. Master’s students are welcome to apply as well, though priority
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of Victoria, the University of Northern British Columbia and the UBC Southern Medical Program in Kelowna. Our Research Division conducts numerous internal and external projects that are recruiting participants
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processed data as per laboratory guidelines Selection criteria Essential Hold a PhD in immunology or onco-immunology or a related field Good publication record and/or demonstrated scientific excellence
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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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, provincial, and other relevant agencies. QUALIFICATIONS Successful applicants will have: A doctoral degree (PhD or equivalent) in clinical psychology, health psychology, public health, women’s health research