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Primary Purpose: The successful candidate will contribute to research focused on characterizing haskap (Lonicera caerulea) genetic resources maintained within the USask Fruit Program. The primary
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projects and deliverables May supervise undergraduate students working on the AI/ML projects QUALIFICATIONS PhD (or equivalent) in Machine Learning, Computer Science/Engineering, Biomedical Engineering, or
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junior research team members (including undergraduate research trainees). Qualifications ● PhD in computer science, bioinformatics, data science or similar, with a focus on machine learning
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Department of Computer Science and the Data Science Institute. Learn more about the lab and its research here: https://nunez-comp-mental-health-cancer-care.github.io/ . RESPONSIBILITIES Reporting to Dr. John
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Programme? Not funded by a EU programme Reference Number EU-58948 Is the Job related to staff position within a Research Infrastructure? No Offer Description A postdoctoral fellow is being sought to work on a
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for the Centre (e.g. conducting analysis on emerging issues, participating in the policy development process). This opportunity is ideally suited to a doctoral student at an advanced stage of their PhD program who
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Laboratory Science (BMLSc)) and graduate (MSc, PhD) levels with the graduate program, one of the largest in the Faculty of Medicine, which has been recognized by UBC for its quality. The Department plays a
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citizenship (First Nations, Métis, Inuit), connection to an Indigenous community, a history and/or evidence of lived experience and an understanding of the Indigenous culture(s) and practices A PhD in Computer
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researchers will be co-advised by UBC professors and Hakai scientists to develop projects that synthesize the information coming in from the monitoring program, as well as provide complementary theory
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Areas: Atmospheric Sciences Physics / Artificial Intelligence , Astronomy , Astronomy and Astrophysics , Astroparticle Physics , astrophysics , Astrophysics (astro-ph) , Astrophysics Computational