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Documentation and evaluation of simulation results, taking into account current scientific literature, to answer key research and development questions Close collaboration with interdisciplinary teams
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identifying climate-resilient restoration sites in the Baltic Sea. The project integrates regional climate modeling, AI-driven simulations, and biogeochemical modeling to predict seagrass distribution under
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can reduce biases and increase fact-based decision making – in the experimental and work contexts. The postdoctoral researcher will conduct experiments on the impact of cognitive conflicts in simulated
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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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modeling, AI-driven simulations, optical remote sensing and biogeochemical modeling to predict seagrass distribution under various climate and nutrient scenarios. SEAGUARD aims to provide science-based
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states Investigation of non-equilibrium dynamics relating to quantum simulation or pump-probe experiments Machine learning for feedback control of monitored quantum systems Participation in international
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theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers the opportunity to work with
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in the Baltic Sea. The project integrates regional climate modeling, AI-driven simulations, and biogeochemical modeling to predict seagrass distribution under various climate and nutrient scenarios
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. Please mention the disability or equality in your letter of application and enclose a copy of the relevant certificate. How to apply? Please send us your application documents including a cover letter, CV
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mesoscopic scale with a focus on X-ray and neutron diffraction as well as PDF analysis, supported by complementary experimental techniques or theoretical simulations Hands-on participation in experiments