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staff position within a Research Infrastructure? No Offer Description Junior Researcher Human-AI Collaboration for the Exploration of Large Unstructured Data (f/m/d) 20 working hours | Research Within
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11.07.2022, Wissenschaftliches Personal The professorship “Big Geospatial Data Management” is seeking to fill two research assistant (E13) positions to support research activities around geospatial
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5 Feb 2026 Job Information Organisation/Company Charité – Universitätsmedizin Berlin Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 13 Feb 2026
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scientific staff PhD in Computer Science or a related field, with several years of experience in distributed databases, large-scale data management, and data archiving Proven expertise in handling large
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semester Application deadline The deadline for the DAAD EPOS scholarship via BIGS-DR is 31 August for the following academic year. For applicants with secured funding, the deadline is 1 May for a start in
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environments) into a unified control system Testing, troubleshooting, and ensuring reliability of automated beamline operations under extended deployment conditions Design and implementation of data acquisition
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Develop solutions to integrate large foundation models
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Developing solutions to integrate large foundation models
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, 100% funded PhD student position to fill starting around June 2026. Research is to be in the field of computational methods in nonlinear and large scale optimization / inverse problems or in novel
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 5 days ago
) package, and the broader MW-Atlas computational infrastructure The goal is to enable scalable, information-theoretically consistent inference of Galactic structure from heterogeneous and large-scale