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/f/d) starting October 1, 2027 The position will be created in the framework of the Cluster of Excellence 3121 “TERRA: Terrestrial Geo-Biosphere Interactions in a Changing World” , a large research
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Stanford University is seeking a Research Data Analyst 2 to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision. Duties
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on HPC clusters for large-scale hierarchical tomography apply algorithms to experimental tomographic data collaborate closely with beamline scientists and project partners publish and present results in
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reconstruction to overcome these challenges. Your tasks - develop physics-informed, self-supervised learning approaches for phase retrieval - implement reconstruction algorithms on HPC clusters for large-scale
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17 Apr 2026 Job Information Organisation/Company IMT Atlantique Department Doctoral division Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Positions PhD
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conservation, and aid authentication. Modern scientific imaging techniques now generate large volumes of complex data that can reveal new insights for art historians, conservators, and the broader public. Among
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spectrometry, bioinformatics, growth facilities for experimental plants and animals and CL2 and CL3 laboratories (https://warwick.ac.uk/fac/sci/lifesci/tic/ ). You will be positioned to attract PhD students from
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9 Apr 2026 Job Information Organisation/Company IMEC Research Field Computer science Engineering » Electrical engineering Researcher Profile Recognised Researcher (R2) Positions PhD Positions
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deadline The application deadline has not yet been determined. Please check our website (www.ec2-big-nse.de ). Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 8 days ago
clusters, research and higher education players, laboratories of excellence, technological research institutes, etc. Context and Motivation Modern data management is increasingly shaped by distribution