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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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for your first independent position and grant or identify connections into the healthcare or private sector to kickstart your next career move. You will be mentored by Dr. Philipp Lange, PhD (Canada Research