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grants, as well as the management of large clinical datasets. Job Description: Job Duties Outlined Research Overview: Design and conduct experiments and interpret data under the mentorship of the Principal
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Dr. Bridgett vonHoldt is seeking to hire a postdoctoral associate (or other senior research) in the areas of evolutionary and ecological analyses of large genome datasets, modelling and simulation
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processes and artificial intelligence and machine learning methods. The goal of Geophysicist.AI is to develop a scalable artificial intelligence ecosystem that integrates large language and physics-informed
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Position Description: Every day, in ways both big and small, the Medical College of Wisconsin (MCW) is impacting lives for the better. MCW … changemaking for a healthier Wisconsin. In the role of a
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techniques (such as, large language models) in the neutron powder diffraction data life cycle. This work will be conducted collaboratively with other scientists within the Neutron Scattering Division and
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different disciplines and mentors Stanford Departments and Centers: Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Sciences Postdoc Appointment Term: 1 year minimum with the option to extend
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search pipelines, analysis of large quantities of data, transient classification, detailed studies of newly discovered, interesting transients, and publication of scientific results. Penn State is home to
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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Postdoctoral Research Associate - Energy materials synthesis and exploration with neutron scattering
scatterings including phase formation, evolution, and elemental site occupancy in crystal structure etc. will be transferred to help to develop process of fabrication of large energy storage device. This work
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, the Cognition, Behavior, and Information research cluster is a group of 5 research faculty whose research focuses on gaining psychologically-grounded insights from large-scale naturally occurring and