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DLL3. Dr. Zhang received her Ph.D. in Cell Biology from Yale University and her M.S. in Computer Science from Stanford University. She finished her postdoctoral training at the University of California
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August 2025 Apply now Machine Learning models are increasingly important in the atmospheric sciences. After training, they can emulate model outcomes at a fraction of the computational cost of traditional
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computational skills applied to hydrologic or climate variables, sub-seasonal to seasonal climate forecasting or climate change projections. Other research specializations broadly related to water resources and
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, NRAO, and/or NRL. For best consideration, applications should be received by August 31, 2025. Qualifications Minimum Qualifications: PhD in astronomy, astrophysics, computing science or a related field
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Educational Requirements PhD in Biology, Marine Science, Environmental Science or related field Required Experience Laboratory experience in molecular techniques, data analysis, and manuscript preparation
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues
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symposia. These are your qualifications: Must-haves: You have completed a doctoral/PhD degree in Computer Science, Business Informatics, or a closely related field, whereby knowledge of computer science is
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of Research Excellence and contribute to a growing cardio-immunology research programme. Inflammation is increasingly recognised as a key modifiable driver of adverse outcomes across a range of cardiovascular
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are looking for: a highly motivated researcher with at least 3 years of research experience (possibly as part of the PhD) in a field related to mathematical analysis of partial differential equations (PDEs