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functional recovery, and apply advanced imaging techniques such as confocal microscopy and fluorescence lifetime imaging along with bioenergetic profiling methods including OCR, ECAR, ROS, and membrane
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patients, families, communities and economic innovation. Applicants must have a PhD, MD, or MD/PhD in a relevant discipline, along with significant research experience (at least 2-3 years postdoctoral) and a
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) Postdoctoral Researchers are Research Fellows recognized by the Quebec government employed at McGill with a valid Doctoral degree (PhD or MD) for a maximum of 5 years after obtaining their Doctoral Degree
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, in partnership with major industry players (Les Éleveurs de porcs du Québec, Olymel, and CDPQ) and MAPAQ. PhD Objectives: This 4-year PhD project aims to develop and validate robust Computer vision
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prototype and validate your research directly in the field. Integration into a dynamic, multidisciplinary team (engineers, computer scientists, animal scientists, veterinarians). Collaborations with
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for scaling new models of care. The course explores how data and AI coordinate people, processes, and technology to support behavior change, precision care pathways, and continuous service improvement. Case
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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
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and testing angiogenic peptides. The role involves both in vitro (cell culture, imaging, molecular biology) and in vivo methodologies. Reporting to the principal investigator, the associate will also
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not required): Experience with ML-based tools for image-analysis and signal processing, development of ML prediction tools Experience with PyTorch and/or TensorFlow, experience with databases and high
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: Current Students in an Undergraduate Program, Current Students in a Master’s Program, Current Students in a PhD Program. Cover letters are mandatory. Please submit it along with your resume. At UBC, we