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the last 5 years or soon to be completed. Demonstrated experience in building machine learning/deep learning models using one or more large scientific data sets involving sequence, protein structures
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to the ongoing substance use crisis. The ideal candidate will have a passion for integrating multiple sources of quantitative data and a drive to explore new areas of inquiry critical to transforming the quality
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our dynamic team. Dr. Reiman’s laboratory conducts basic and applied clinical cancer research focusing on multiple myeloma, lymphoma, and lung cancer. The successful candidate will have the opportunity
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infrastructures include multiple imaging scanners, including a long axial field-of-view (LAFOV) PET/CT scanner, and aims to push the limits of modern technology. Moreover, the close connection with the clinical
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trainees and researchers to freely explore creative ideas in supportive environments. The clinical infrastructures include multiple imaging scanners, including a long axial field-of-view (LAFOV) PET/CT
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supportive environments. The clinical infrastructures include multiple imaging scanners, including a long axial field-of-view (LAFOV) PET/CT scanner, and aims to push the limits of modern technology. Moreover
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described in the Tri-agency statement on equity, diversity and inclusion (EDI) and is aligned with the objectives of the Tri-agency EDI Action Plan . For more information, consult the Equity, diversity and
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described in the Tri-agency statement on equity, diversity and inclusion (EDI) and is aligned with the objectives of the Tri-agency EDI Action Plan . For more information, consult the Equity, diversity and
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challenges. This principle informs the commitments described in the Tri-agency statement on equity, diversity and inclusion (EDI) and is aligned with the objectives of the Tri-agency EDI Action Plan
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lead two collaborative projects with funding secured from CIHR and the US Department of Defense: 1) the roles of oxidized phosphatidylcholines in brain aging and multiple sclerosis, and 2) the long-term