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, including rare and extreme events. Quantify flood risk and improve early warning predictability in out-of-distribution conditions (climate change, land cover changes), and use explainable and causal ML
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17 Oct 2025 Job Information Organisation/Company University of Oldenburg Department School of Medicine and Health Services Research Field Computer science Researcher Profile Recognised Researcher
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events are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu-dresden.de/ing/maschinenwesen/postgraduales/promotion
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of distributed computing, machine learning, image and text analysis, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim to support computational thinking
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events are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu-dresden.de/ing/maschinenwesen/postgraduales/promotion
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motivated team, and the dedicated workshop program offered by RWTH and synchrotron facilities. Website for additional job details https://www.rwth-aachen.de/go/id/kbag/file/V000010330/ Work Location(s) Number
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
Application Deadline 4 Dec 2025 - 23:00 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 1 Jul 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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in the body. However, clinical PET imaging has so far been largely limited to imaging the distribution of a single radiotracer per scan. In collaboration with the Forschungszentrum Jülich, the PET
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Integrate findings into the existing package synthetic grid tool for generating realistic medium-voltage distribution grids Collaborate with domain experts from energy modeling, geoinformatics, and data
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Mathematics at the Technical University of Munich (TUM) invites applications for one PhD position. The student will work on developing scalable distributed preconditioners in Ginkgo (https://github.com/ginkgo