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The Department of Medicinal Chemistry at Rutgers University Ernest Mario School of Pharmacy is seeking a co-adjutant to help team-teach medicinal chemistry courses. Position Status Per Diem Posting Number 26FA0011
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urban design with microclimate simulations and measurements, GIS and Digital Twin technologies, and machine learning. The work will be part of a Horizon pilot project aimed at realizing a scenario-based
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Aalto University is inviting applications for a Postdoctoral researcher in molecular machine learning. The successful applicant will join the research group of Professor Juho Rousu. The position
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apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular dynamics (MD) simulations
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, machine learning, and related AI approaches, this is your chance to work at the intersection of data science, pathogen-research and immunology, tackling questions that matter for global health. The position
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University of California, San Francisco | San Francisco, California | United States | about 5 hours ago
., MD, PhD, MPH, or related programs). The role is entry-level in scope and provides close mentorship and supervision while offering a steep learning curve. The anticipated term for this position is two
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural
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PhD (or equivalent) in Machine Learning, Computer Science/Engineering, Biomedical Engineering, or PhD or equivalent degree in population/public health and other related medical fields with AI and ML
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Computational Mathematics for reliable and trustworthy uncertainty quantification in science, engineering, and machine learning. Your workplace You will be employed at the Division of Applied Mathematics in a
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federated learning, AI security and privacy, quantum machine learning (QML), robotics, and/or AI-driven discovery in science and engineering (e.g., genomics, bioinformatics, drug discovery, infectious disease