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translation of innovative miniature, hair-thin imaging devices we have previously developed [https://doi.org/10.1117/1.JBO.29.2.026002]. These devices are designed to enable early and accurate detection
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an emphasis on technology, data science and the humanities. We are looking for a Research Fellow to conduct AI for medicine research. The role will focus on developing foundation models to medical image
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Overview Eine Druckversion dieser Ausschreibung (PDF) steht Ihnen in den weiteren Registerkarten (z.B. „Bewerbungsvoraussetzungen“) zur Verfügung. A print version of this announcement (PDF) is available in the further tabs (e.g. “Application requirements”). Programme Description The programme is...
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Tulane University Office of Human Resources Description for Job: IRC32798 TUII Postdoc Fellow Tualne University Innovation Institute Location: New Orleans, LA Summary The Tulane University
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of imaging this highly dynamic and complex organelle. Our lab has developed various quantitative and super-resolution imaging tools specifically designed for studying the Golgi, including en face averaging
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The Oxford-Hyundai Motor Group Foresight Centre is a major research centre located within the University of Oxford’s Saïd Business School. Funded through a generous research sponsorship from Hyundai Motor Group, the Centre is led by Oxford strategy faculty Rafael Ramirez (Director) and Trudi...
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Details Title Postdoctoral Fellow in Imaging Approaches to Measuring Brain Energetics School Faculty of Arts and Sciences Department/Area Human Evolutionary Biology Position Description We seek a
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developing machine learning or data science approaches for patient stratification and genetic association analyses using cardiac magnetic resonance imaging in biobank populations. Successful applicants will
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location for green hydrogen. Who can apply? PostDocs who are interested in any topics related to Green Hydrogen (GH2) and want to be an active part in one of the four working groups: Production Transport and
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, spatial data, and perturbation screens with high content molecular and imaging data to understand cellular and multi cellular combinatorial programs in cells and tissues in health and disease. You will join