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and applied research in one or more of the following areas: collaborative robotics, manipulator robots, compliant robotics, human-robot interaction, computer vision, artificial audition, signal
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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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conditions for a rewarding career. Job Summary We are seeking a highly motivated Research Assistant/Tech 3 to support PROGENITER, a multi-year research program to develop therapeutics that target infectious
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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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Cooper and other senior research staff. This position will also provide the candidate with excellent opportunities for growth in the field of clinical research. To learn more about the research program
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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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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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cross-national exchange and collaboration. The program is open to eligible individuals from the following countries: Australia, Canada, France, Germany, the Netherlands, New Zealand, Norway, Singapore
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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