62 programming-"the"-"DAAD"-"EURAXESS"-"Prof"-"IMPRS-ML"-"IMPRS-ML" "U" Fellowship positions
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Apply Now Job Summary A research fellow position is available in the Rheumatology, Department of Internal Medicine at the University of Michigan (U-M) Medical School. The ideal candidate has
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, evidence-based care for musculoskeletal injuries and conditions. Our faculty, staff, and trainees conduct a diverse range of musculoskeletal research and scholarship. The department?s research program is
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communication skills. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis. Knowledge of network science and/or complexity sciences
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degree (M.D., M.B.B.S., or equivalent. Translational projects will require the postdoctoral fellow to work with faculty to plan study methods, draft IRB protocols, and carry out the project as detailed. It
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applications. Our research program consists of two main thrusts, 1) the development and application of state-of-the-art laser and optical sensing techniques - both on the ground and in flight - to better
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job Title: Postdoctoral Fellow
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protective factors for cognitive functioning among middle-aged and older adults. The team will leverage partnerships with minority health and aging centers and programs and establish a track record of
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. Our faculty, staff, and trainees conduct a diverse range of musculoskeletal research and scholarship. The department?s research program is integral to its mission and vision of leading advances in
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mechanisms at molecular and cellular levels. Postdoctoral fellows will join a supportive, inclusive environment and contribute to exciting research while developing their own independent research programs
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hearing care. This role supports a high-impact research program focused on addressing the unmet needs of adults with hearing loss through data-driven policy, service innovation, and community-based