33 parallel-computing-numerical-methods-"DTU" Postdoctoral positions at Pennsylvania State University
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in genome-wide computational experiments. We are part of the Center for Medical Genomics and the Center for Computational Biology and Bioinformatic s. We have strong links to Penn State College
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to the research program led by the Penn State numerical relativity group. There will also be ample opportunity to collaborate with other members of the Institute for Gravitation and the Cosmos, which includes
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: Your role at the lab is to investigate the behavior of individual molecules and bio-molecular condensates in living cells. You will use and develop the imaging and computational methods that to visualize
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) develop and apply statistical genomic methods to analyze multi-omics datasets for understanding complex disease etiology and (2) develop and apply novel statistical models to analyze EHR data
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College of Science is seeking a Postdoctoral Scholar beginning August 2025. The successful candidate will work with Professor John Harlim in the area of Applied and Computational Mathematics. The project
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University, invites applications for a Postdoctoral Scholar position in the research group of Dr. Xiaoyue (Maggie) Niu. Potential research projects include (but are not limited to) work on methods and theories
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of physics beyond the Standard Model, using analytical and computational approaches. The successful applicant will join Dr. Carlos Blanco's research group with significant academic freedom to pursue
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must be ready to conduct research involving the design of novel behavioral interventions, conduct human studies, and build computational models to implement existing behavioral paradigms such as Just In
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Engineering and should have experience in materials characterization, numerical modeling and statistical analysis, and welding metallurgy. The Pennsylvania State University’s College of Earth and Mineral
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Sriperumbudur. Potential research projects include (but are not limited to) developing theory and methods for metric-valued (including functions, distributions) data analysis, optimal transport and gradient flows