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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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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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sources and will be part of and work on the ongoing effort to develop new measurement science and devices for quantum networks, including sources, detectors, memories, transducers, metrology, and protocols
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thermoreflectance optical pump-probe thermal-property measurement methods, develop and refine instrumentation, optimize protocols, and provide thermal property data for thin-film and multilayer materials that can
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collaborative, interdisciplinary team. - Provide technical input to research problems which have been recognized as critical obstacles to progress in areas of exceptional interest. - Prepare and
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Preferred Key responsibilities will include but are not limited to: Develop novel and cutting-edge instrumentation for scanning probe microscopy. Support ongoing operations of scanning probe microscopy
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relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering
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tracking is highly desirable. Create a Job Match for Similar Jobs About Johns Hopkins University Johns Hopkins University remains committed to its founding principle, that education for all students should
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. This position is part of the Johns Hopkins Individualized Health Initiative (Hopkins inHealth), a University-wide effort to develop precision tools that improve diagnosis, prognosis, patient stratification, and
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The work will entail: NIST is actively seeking a candidate for a postdoctoral research position as part of a project related to the CHIPS for America Act. The project seeks to develop robust, quantitative