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background and strong analytical skills in quantum physics and applied mathematics, including familiarity with exact and approximate methods to solve for and control the time-evolution of quantum many-body
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/oncology, systems biology, applied mathematics, nuclear medicine physics, or a related field. Prior experience in at least one of the following is a requirement: physiologically based pharmacokinetic (PBPK
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, Victoria, and Kelowna) and beyond. Requirements: The ideal candidate will have a PhD in computational modeling/oncology, systems biology, applied mathematics, nuclear medicine physics, or a related field
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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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and deep learning. Strong Computer Vision background with publications in top/mid-tier conferences e.g., CVPR, ICCV, ECCV, WACV. Strong mathematical understanding and skills in applying Machine Learning
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Applications are invited for a two-year postdoctoral fellowship supported by the collaborative research and training program Pacific Rim Ocean Data Mobilization and Technology (PRODIGY) and the
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evolution and ecology geosciences mathematical sciences mechanical engineering physics and astronomy plant and animal biology psychology In preparing your application, you should consult the Selection
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(CDF) are for applicants who hold a doctoral degree from a non-biological discipline (e.g. physics, chemistry, mathematics, engineering or computer sciences) and who have not worked in the life sciences