11 computer-science-"Embry-Riddle-Aeronautical-University" Fellowship research jobs at Johns Hopkins University in United States
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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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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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. 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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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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Qualifications ? Ph.D. in Physics, Materials Science, or a related field with a concentration in electron microscopy methods ? Experience in the collection and processing of TEM/STEM data ? Computer programming
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documentation have been archived or otherwise transmitted to the larger organization Qualifications § A doctoral degree in electrical engineering, computer science, or other related fields is preferred but not
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- Variety of unique didactic experiences - Opportunity to participate in clinical research - Leadership skill development Details: - 12-month long program - Clinical exposure
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Dr. Meghan Moran and colleagues on a federally-funded research project. The fellow will receive training and mentoring on health communication, tobacco control, regulatory science, manuscript
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applicant will have a PhD in vision science, computer science, or a related field. Experience in cloud-based and mobile image processing for rapid object and face recognition and in use of head-mounted eye
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interdisciplinary work within the Bloomberg Distinguished Professorships (BDP) program, fostering connections across economics, statistics, and data science. The successful candidate will be encouraged to pursue