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have a PhD in computational modeling/oncology, systems biology, applied mathematics, nuclear medicine physics, or a related field. Prior experience in at least one of the following is a requirement
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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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biology for a two-year term with possibility of extension. The successful applicant will train directly under the supervision of Dr. David Granville, PhD, and will have an opportunity to develop
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the laboratory Assist in the management of laboratory resources and maintenance of research protocols Qualifications/Requirements of Position Qualifications: PhD in Biological Sciences or a related field, with 0-5
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The fellowship program has an outstanding reputation for attracting the best and the brightest PhDs in the sciences and for training future leaders in Climate and Global Change Science. In FY25
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that change! Qualifications The position requires a PhD degree in electrical, computer or biomedical engineering, computer science, or a closely related area. The successful candidate is expected to develop
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, single-cell analysis capabilities, opportunities to partner with the country's strongest concentration of computational neuroscientists and much more. Fellows also enjoy the institute's extensive portfolio
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The next call for Letters of Intent will open in late-2025 or early-2026. The HFSP fellowship program supports proposals for frontier, potentially transformative research in the life sciences
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) and @ECItorontomet (external link) on Twitter, and visit our LinkedIn company page (external link) . About the program/department/team The Centre for Urban Energy (CUE) at Toronto Metropolitan
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developing quantum machine learning techniques. Relevant Fields: Physics, Electrical and Computer Engineering or equivalent field Required Skills: Strong condensed matter physics, statistical physics, quantum