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will help lead efforts to design and manage online surveys, data collection, analysis, and coordinate with partner organizations. The incumbent will be working with Montreal Mobility survey data
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opportunities that support ongoing and future research activities. Mentor graduate students and research trainees in study design, data analysis, interpretation of findings, and scientific writing. Support the
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human brain tumor samples at different stages of progression and after exposure to therapies. The postdoctoral researcher will have opportunities to lead projects, devise data analysis strategies, and
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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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. Data and analysis: Maintain accurate experimental records and contribute to analysis of imaging, treatment, and biological data, including relevant tissue processing and histology. Platform evaluation
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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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approvals, data access agreements, privacy). Required Qualifications Candidates must hold, or be within ~6 months of completing, a PhD (or MD/PhD) in a relevant field — for example human genetics, statistical
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design, nucleic acid and protein assays, microscopy/imaging techniques, animal studies, mammalian cell culture Preferred (not required, but an asset) skills: bioinformatic data analysis, R programming
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potential, and the ability to establish a competitive, internationally recognized research program. The Lunenfeld-Tanenbaum Research Institute requires that candidates must hold a PhD, MD, or equivalent
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-energy particle physics, or a closely related field is required by the start of the appointment. Candidates should also have experience in particle detector development and data analysis, and an interest