15 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "University of St" Fellowship positions at Johns Hopkins University in United States
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capabilities to aid in the predictive engineering of biological systems, such as proteins, as part of the NIST Engineering Biology Program. Develop artificial intelligence and machine learning analysis pipelines
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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 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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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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. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science
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Vision Assistive Technology." Under this project we are developing new head-worn technology that informs and assists users with profound visual impairment about objects, people, obstacles, hazards, etc. in