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) with excellent grades in computer science, materials science, physics, or a related discipline Practical experience in data science, including the application of machine learning (ML) methods or large
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semantic querying and reasoning over materials-science/physics corpora Developing pipelines for semantic enrichment of unstructured data, including entity recognition, relation extraction, and automatic
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11.11.2024, Wissenschaftliches Personal In the project “BIG-ROHU” (BIG Data - Rotor Health and Usage Monitoring), a system is being developed which provides information on both the health and the
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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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, integrative biology approach that utilizes human pluripotent stem cell based model systems, high throughput functional genomic screening and big data based machine learning, bridging the scales from genetics
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Max Planck Computing and Data Facility (MPCDF), Garching | Garching an der Alz, Bayern | Germany | 8 days ago
Job Offer from October 10, 2025 The Max Planck Computing and Data Facility (MPCDF), in collaboration with the Max Planck Institute for Human Cognitive and Brain Sciences (MPI-CBS), is looking
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10 Oct 2025 Job Information Organisation/Company CISPA Helmholtz Center for Information Security Research Field Computer science Researcher Profile Recognised Researcher (R2) Positions Postdoc
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extended abstract of your Master thesis. Two letters of recommendation should also be provided here by the deadline. Only complete application will receive full consideration. Fore more information on BIGS
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 44 minutes ago
) at the Max Planck Institute for Intelligent Systems in Tübingen (Germany) has an open position for a Doctoral Researcher for the project “WeGaze: Large-Space Gaze Analysis via Multi-camera System for Social
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clinical data from musculoskeletal rehabilitation to generate data-driven insights that improve orthopaedic treatments and patient outcomes. Responsibilities: Extract, clean, and harmonize large clinical