63 parallel-computing-numerical-methods-"Simons-Foundation" research jobs at Johns Hopkins University
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the opportunity to sign out cases independently in a highly supportive setting. Applications may be submitted now, and acceptances are on a rolling basis until the program is filled. The fellowship is flexible and
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the opportunity to independently sign out cases in a highly supported setting. Applications may be submitted now and acceptances are on a rolling basis until the program is filled. The fellowship is flexible and
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team. Specific Duties & Responsibilities Run routine and ad hoc reports. Use standard tools and computer programs to review data. Assist with data cleaning measures to ensure accuracy of data and
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team. Specific Duties & Responsibilities Run routine and ad hoc reports. Use standard tools and computer programs to review data. Assist with data cleaning measures to ensure accuracy of data and
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We are seeking a Research Program Assistant II to assist with data collection, entry, and operational functions for a research program. Specific Duties & Responsibilities Collect data via
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Johns Hopkins Molecular Psychiatry Program is seeking a Research Program Assistant II , who will be responsible for the assistance of clinical and translational research, including the recruitment
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internationally recognized cosmologist and data scientist with over 25 years of experience bridging theoretical cosmology, advanced computational methods and ML/AI. He co-leads the Implicit Likelihood Inference
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) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires
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computational methods for understanding complex economic and financial systems. Research Areas: Applied statistics and econometrics with emphasis on high-dimensional data analysis, forecasting and predictive
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Distinguished Professor Domenico Giannone. Professor Giannone's research lies at the intersection of economics, applied statistics, and data science, with a focus on advancing empirical and computational methods