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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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, offering training and experience in genomics, computational biology, early drug discovery and clinical studies. RESPONSIBILITIES Reporting to Dr. Sam Aparicio, the incumbent will be responsible for: Design
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to collaborative efforts aligned with translational and commercial development goals, including work supported by the CIFAR Multiscale Human Program and UBC’s Biodevice Foundry. Qualifications PhD in immunology
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Human Program and UBC’s Biodevice Foundry. Qualifications PhD in immunology, developmental biology (focused on the immune system), immune-engineering, or a related field (obtained within the last 5 years
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Sciences | Faculty of Science (Shaun Barker) Posting End Date June 18, 2025 Note: Applications will be accepted until 11:59 PM on the Posting End Date. Job End Date Jul 31, 2026 The expected pay range
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advanced degree (PhD) in physics, applied mathematics, chemistry or electrical engineering, and should have a background in experimental quantum systems. Experience with magnetic resonance, Hamiltonian
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 2 months ago
with and provide support to research staff involved in the project. Mentor graduate and undergraduate students. Qualifications/Requirements of Position Required qualifications: PhD in a health sciences
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 16 hours ago
health is essential to inform population and healthcare interventions that enhance quality of life and alleviate healthcare demands. Dr. Scott Kehler’s research program focuses on exploring frailty
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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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discovery challenges. Qualifications: PhD in bioengineering, computational biology, machine learning, systems immunology, or related discipline, obtained within the last 5 years, by the time of