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Field
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The Microscopy group in X-ray Science Division of Advanced Photon Source at Argonne National Laboratory is seeking postdoctoral researchers to work on cutting-edge ptychography technique development
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of Clinical Medicine (20600) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in the Division of Neurology of the Department of Medicine, School of Clinical Medicine (Ref.: 534117
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unexplored intersection between social cognition, attentional processing, and gaze perception. We use several different methods, including functional magnetic brain imaging (fMRI), behavioral and
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National Laboratory is hiring a Postdoctoral Scholar - Organic Spin Qubits & EPR Spectroscopy within the Molecular Foundry division. This position will support a two-year research program on correlated
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
robust single cell-based foundation models on digital pathology images and will combine AI with our latest Deep Visual Proteomics workflow. For more information: group.szbk.u-szeged.hu/sysbiol/horvath
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join us at the Division of Chemical Biology, Department of Life Sciences, and help advance
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the powerful behavior of light and matter at the quantum level. We offer a vibrant, international research environment and direct access to world-class nanofabrication facilities. The division is also part of
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The School of Public Health Division of Biostatistics and Health Data Science (BHDS) is seeking applications for a Post
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. As part of the study, the candidate will receive training in single-molecule imaging. The applicant will also be expected to interact with graduate students in the laboratory and participate in
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assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy fields. Part of the project will also include the development of deep learning frameworks for TEM image