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17 Sep 2026 Job Information Organisation/Company Université de Reims Champagne Ardenne Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No Offer Description Materials science and technology are our passion. With our cutting-edge research, Empa's
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capabilities highly desired of the candidate include but not limited to: experience in ML/ AI approaches, application of ML/AL in image processing, reasonable understanding of science/physics and engineering of
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National Aeronautics and Space Administration (NASA) | Huntsville, Alabama | United States | 17 days ago
research program encompassing high-resolution EUV and X-ray imaging, spectroscopy, detector development, and calibration activities. Depending on the fellow's interests, participation may include instrument
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visits, some will be interstate The School of Health Sciences The mission of the School of Health Sciences is to contribute to the betterment of society and individuals’ lives through excellence in
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leading journals and conferences. About you · a PhD in Materials Science and Engineering, Physics, Materials Characterisation, Computational Materials Science, or a closely related discipline
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, physics, or other quantitative disciplines), or expected within 6 months. Demonstrated experience in in vivo two-photon imaging using calcium indicators in mice. Strong quantitative and analytical skills
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electrophysiological data sets. Trainees will also have opportunities for clinical exposure through our robust deep brain stimulation and movement disorders clinical research program. Candidates may refer to the below
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the Australian Research Council The successful candidate should have research experience in electrochemical technology and prototype design. They will have excellent oral and written communication skills and
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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images