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society’ and ‘participating in public debate, decision-making and policy, and education on critical scientific issues.’ For consideration, candidates must: hold a PhD (or equivalent) in a relevant
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• PhD in a relevant field • Demonstrated ability to thrive in a collaborative team environment • High personal motivation, self-management, detail-orientated; ability to take responsibility
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development and target discovery challenges. Qualifications: PhD in bioengineering, computational biology, machine learning, systems immunology, or related discipline, obtained within the last 5 years, by
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or guidelines to follow for resolution - develops these as necessary and documents the process. Supervision Given Provides ongoing support, advice, and mentoring to students. Qualifications - PhD in Physics
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enhancing one’s own awareness, knowledge, and skills related to equity, diversity, and inclusion Preferred Qualifications A MSc/PhD in a relevant discipline including the biological, biomedical, health
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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
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in molecular biology and bioinformatics, with a focus on infectious disease and cancer models. Candidates must have a PhD in Immunology, Molecular Biology, Microbiology, or Vaccine Research. The ideal
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allows for translation of novel methods to our cancer clinics in Canada (Vancouver, Victoria, and Kelowna) and beyond. Requirements: The ideal candidate will have a PhD in computational modeling/oncology
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- Registered kinesiologist - Previous experience working with clinical population and exercise prescription Preferred Qualifications Preference is given to those with a graduate level degree (Masters, PhD) in a
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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