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29.05.2026, Academic staff This is a fully funded, project-independent research position without teaching obligations, offering substantial academic freedom and the opportunity to develop
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05.07.2026, Academic staff Our research combines mathematical modeling, numerical simulation, scientific computing, and data-driven methodologies to improve the predictive capabilities and
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more about logical zonotopes: paper link: https://lnkd.in/e-avQ-2B talk link: https://lnkd.in/eYGWFKmy You will conduct original research on logical–zonotope–based methods for model checking and digital
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focuses on scenario development, as well as the modelling, simulation and analysis of coupled power and gas grids in Europe. The research project aims to develop advanced, cross-sectoral simulation
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leading scientists from mathematics, particle physics, astrophysics, and cosmology at the University of Hamburg and DESY. As part of the cluster's technology transfer activities, this project aims
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Potsdam-Institut für Klimafolgenforschung e.V. (PIK) | Potsdam, Brandenburg | Germany | 2 months ago
of climate change and human migration, starting on the earliest possible date. Key responsibilities: conceive, design, and conduct quantitative research on human migration develop and test new approaches
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the opportunity to further develop their research agenda and academic profile. The position includes teaching responsibilities and support for competitive grant applications. Research Focus You will use game theory
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of AI for next-generation microbiome research? We are looking for a highly motivated researcher to develop novel machine learning and computer vision methods for autonomous live-cell microscopy
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Nordrhein-Westfalen“, which aims to develop, in close cooperation with regional agencies, a robust methodology for designing flood-retention basins and dams. We are looking for a candidate to test and develop
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 3 months ago
or international research programmes for scientific, policy, and stakeholder purposes, and support data flows into Copernicus Arctic Hub, EMODnet, GBIF/OBIS, PANGAEA and other polar data repositories Prepare