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pursuit of our vision. To address contemporary agricultural challenges, we seek to catalyze transformative discoveries and enhance education and engagement. AFRI-funded science is vital to meeting food
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to pursue their personal vision of a particular scientific project independently – in the best possible locations, anywhere in the world. The fellowship is awarded to postdocs for up to five years. Since it
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, or behavioral data) and be proficient in Python and modern deep-learning frameworks (ideally PyTorch). Experience in computer vision, multimodal data fusion, self-supervised or generative modeling is highly
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highly motivated Research Assistant/Tech 3 to support PROGENITER, a multi-year research program to develop therapeutics that target infectious diseases at an accelerated pace. The successful candidate will
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-time Research Assistant / Technician (TRA 2). Catalyzed by a generous private donation, the DTII is driven by a vision to support the development of Alzheimer’s disease and dementia therapeutics at UBC
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(Biomedical Engineering or related field). Experience with machine learning, computer vision, and data science tools. At least 2 years of experience developing applications with Python and Java. At least 2
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of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 15 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number EU-59003
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 1 month 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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Project orientation provided Specialized research software familiarization and orientation provided by the AHS research team. Qualifications & Experience Must be currently enrolled in a full time program
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA