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Koziarski Lab - The Hospital for Sick Children | Central Toronto Roselawn, Ontario | Canada | 2 days ago
3 Sep 2025 Job Information Organisation/Company Koziarski Lab - The Hospital for Sick Children Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Positions Postdoc
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together the brightest minds who have completed a PhD in the natural sciences or engineering and who aim to pursue a research project that includes the application of artificial intelligence (AI
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methods to our cancer clinics in Canada (Vancouver, Victoria, and Kelowna) and beyond. Requirements: The ideal candidate will have a PhD in medical physics, computer science, biomedical engineering
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Masters and PhD students. Acts as a resource to various research team members to identify real or potential problems and works to resolve these issues. Reviews other study protocols as assigned, and discuss
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, manuscript writing, presentations for submission to selected journals/conferences and grant proposals. Acts as a mentor and resource to Masters and PhD students. Acts as a resource to various research team
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Citizenship Canadian Permanent Resident International Degree Level Doctoral The Google PhD Fellowship Program was created to recognize outstanding PhD graduate students doing exceptional work in computer science
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, applied mathematics, statistics, computer science, strong gravity, condensed matter theory, particle physics, quantum fields & strings, quantum gravity, quantum foundations, quantum Appl Deadline: 2026/01
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to start doctoral studies in Chemistry, Physics, Electrical Engineering or Computer Science. Fellowships will initially be for one year, but may be extended for a second year. Eligibility Applicants
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AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical imaging QUALIFICATIONS Successful applicants will have: a PhD in
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. The candidate should be independent and have the ability to develop and pursue new, creative research ideas. The position is funded through the NSERC Discovery Grants program. Qualifications PhD and related