12 parallel-and-distributed-computing-"U.S" Fellowship positions 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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) 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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at the forefront of discovery, innovation and medical advances. Its reputation for excellence has earned a ranking among "America's Best Hospitals" by U.S. News and World Report for more than two decades. The Mental
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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 and thus requires
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Computer/Information Sciences Internal Number: A-179059-11 General Description The Johns Hopkins University Data Science and AI (DSAI) Institute welcomes applications for its Postdoctoral Fellowship program
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) and their families. This 12-month post-professional program is focused in the outpatient neurorehabilitation setting, with experiential learning opportunities in acute care and inpatient rehabilitation
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Medical - Clinical Internal Number: A-175742-11 General Description A 12-13 month fellowship program consisting of mentored advanced clinical practice in Hand Therapy and Occupational Therapy at our
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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