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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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reviewing research products such as interview guides, coding frameworks, and knowledge translation materials. Education/Work Experience: The candidate must have completed a PhD within 5 years in a relevant
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such as interview guides, coding frameworks, and knowledge translation materials. Education/Work Experience: The candidate must have completed a PhD within 5 years in a relevant discipline (e.g. public
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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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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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imaging QUALIFICATIONS Successful applicants will have: a PhD in medical physics, computer science, biomedical engineering, electrical engineering, applied mathematics, or a related field; or an MD with
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) are not counted towards work experience in determination of eligibility. Doctoral students who do not hold a master's degree (i.e., proceeded directly from Bachelor's to PhD, or have "fast-tracked
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. The successful applicant will train directly under the supervision of Dr. David Granville, PhD, and will have an opportunity to develop their leadership skills in the laboratory by participating in overseeing
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Are you a Canadian PhD student with expertise on China interested in bridging academia and foreign policy? Department: Global Affairs Canada - Centre of China Policy Research and Coherence - OPR