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using molecular simulation and machine learning methods. This position offers the opportunity to work at the intersection of computational methods and advanced material discovery in a highly collaborative
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, including the most recent papers. Preference may be given to candidates with knowledge in machine/deep learning, statistical inference, image analysis, survival analysis, causal inference, and high
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, such as Seurat and Scanpy. Experience with machine learning models, such as transformer and diffusion models. Strong written and oral communication skills. Modes of Work Positions that are eligible
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diseases, and anti-cancer responses Roles of retinoic acid in regulation of the immune system, focusing on T and DC regulation Chimeric antigen receptors (CAR) as therapeutic tools for immunological
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/ Laboratory Manager to carry out biochemistry research in conjunction with our computer-aided molecular design group. What You'll Do The selected candidate will perform and manage biochemistry experiments
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impact of tobacco regulations across a range of tobacco-related conditions and policy outcomes. Desired areas of expertise include: dynamic and complex systems, agent-based modeling, computer programming
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science or learning which is directly related to the duties of this position. Technical expertise in either exercise physiology, biomechanics, or skeletal physiology/biology. Technical experience in either
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Established record of peer-reviewed scientific publication Prior experience / comfort with computer programming is a plus Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are
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efficiency. In addition, the candidate should have strong organizational skills, the ability to successfully manage competing priorities, the ability to anticipate needs and follow through on the completion