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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 18 hours ago
) funded by the EU Horizon Europe program, which aims to advance ocean data assimilation. Together with 10 European partners we will advance data assimilation methodology and software, and apply ensemble
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 25 days ago
techniques have enormous potential for the modeling, prediction, and control of nonlinear systems governed by partial differential equations. This project will focus on developing machine learning methods
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should be tested against data from the present and past, going back to 6000 years before today, and they should be enhanced to predict indicators of Nature’s Contributions to People (NCPs). Together
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 12 days ago
environment that opens up unique research opportunities. The goal of our basic research is to develop a quantitative and predictive understanding of the decisions and movements of animals in their natural
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. The postdoc will collaborate closely with modelers to integrate observations into predictive tools, and with social scientists to help place MRV findings within broader governance and stakeholder contexts
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Your Job: We are seeking highly motivated postdoctoral researchers to join these projects. If you are passionate about protein dynamics and design, protein function prediction, small molecule
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 18 days ago
environment that opens up unique research opportunities. The goal of our basic research is to develop a quantitative and predictive understanding of the decisions and movements of animals in their natural
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for Molecular Tumor Boards. You will join a young and enthusiastic team of scientists working at the forefront of spatial proteomics and predictive systems medicine. You will have access to state-of-the-art
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. Antonio Scialdone’s group at Helmholtz Munich, a leading European hub for AI in biology. The successful candidate will design and implement physics-informed machine learning frameworks and predictive models
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(50%) with a weekly working time of 20 hours per week. The project, Predicting Arctic Tundra ecosystems development (ARTECO), is funded by Deutsche Forschungsgemeinschaft (DFG) and a cooperation project