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, design and implementation of an immersive training tool that leverage spatial computing, computer vision, and on-device AI to support automated feedback, skill evaluation, and scalable surgical and trauma
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to improving the care, treatment, and well-being of patients. The Department offers academic degrees at the bachelor’s (Bachelor of Medical Laboratory Science (BMLSc)) and graduate (MSc, PhD) levels with
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University of British Columbia Department of Surgery | Northern British Columbia Fort Nelson, British Columbia | Canada | about 2 months ago
and work alongside technicians in a team-based environment. The following qualifications, skills and knowledge, are required: A PhD (completed within the last five years, with provision for career gaps
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, data scientists, bioinformaticians, and international consortium partners. Required qualifications The ideal candidate should have: A PhD in computational biology, bioinformatics, computer science, data
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support critical project objectives, including: 1. Developing modelling approaches to understand how perennial features in agricultural landscapes might impact both ecosystem services and biodiversity; 2
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, bioinformatics, or artificial intelligence to join the Uterine Health Research Lab. This position offers a unique opportunity to develop and deploy AI-powered analytics infrastructure across gynecologic cancer
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, visiting trainees, and research assistants, including technical training and day-to-day guidance within research projects. Minimum Qualifications PhD (or equivalent) in neuroscience, immunology, stem cell
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can adversely affect the viability and validity of research projects or programs and may compromise UBC Division’s and Department’s ability to secure grant-based funding for future research projects
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variants that can be translated into therapeutic targets. The Fellow will join a vibrant and growing team (5 PhD students, 1 MSc student, 1 visiting professor, and 1 visiting graduate trainee) and contribute
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: Design and implement ML, deep learning, and Large Language Models for orthopaedic applications Work with multimodal clinical data, including: Medical imaging (X-ray, CT, MRI) Electronic health records (HER