15 developer-"https:" "https:" "https:" "UCL" Fellowship research jobs at Johns Hopkins University
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electron spin resonance. For more information about the group, see: https://www.nist.gov/pml/nanoscale-device-characterization-division/nanoscale-processes-and-measurements-group/scanning . U.S. Citizen
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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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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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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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health sciences across the campuses of Johns Hopkins University to foster innovative, interdisciplinary scholarship and to train undergraduates, graduate students, and health professionals with skills
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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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. 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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, 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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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
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modeling, machine learning methods, and applications involving text and other non-traditional data sources. The fellow will contribute to and extend research in these areas, engaging in projects that develop