16 computer-"https:" "https:" "https:" "https:" "The University of Manchester" Fellowship positions at Johns Hopkins University
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Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual
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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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of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects
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Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual
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Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual
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Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual
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applicants for a two-year postdoctoral fellowship in history of medicine and medical humanities. The fellow will have teaching and administrative responsibilities in the department's online program in
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motivation to publish and advance biomarker-based precision medicine. - Background in immunology, nephrology, rheumatology, pathology, molecular biology, computational biology, or related areas
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, including years of work experience. Generally, NIH guidelines for postdoctoral fellows are followed based on your post-doctoral years of experience (https://grants.nih.gov/grants/guide/notice-files/NOT-OD-25
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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