21 parallel-computing-numerical-methods-"Simons-Foundation" uni jobs at Free University of Berlin
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Responsibilities: The successful applicant will cover research and teaching in the field of data-driven material research with a reduced teaching load of two weekly credit hours at Freie Universität Berlin. The professorship includes the opportunity of establishing and leading a newly founded...
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of statistical mechanics of equilibrium and non-equilibrium systems • Very good academic performance, especially in numerical simulation methods, statistical mechanics, and stochastics • Very good oral and written
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(GRK) 3096 “One Health Approach to Soil-Transmitted Helminths,” successful applicants will work on scientific projects in an interdisciplinary manner within a structured program. The projects address
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, and numerical modeling - confident handling of big data and time series analysis methods - good analytical and problem-solving skills, good communication skills, and the ability to work independently
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using the programming language Fortran. Experience or willingness to run numerical models on parallelized supercomputers. Experience in the analysis of model output using Python or a similar high-level
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The planetary geodynamics group led by Prof. Dr. Lena Noack uses computational models to characterize planetary processes that impact the long-term evolution of the planetary interior coupled
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Bewerbungsende: 15.09.2025 The AI4Science Group (former Computational Molecular Biology - head: Frank Noé) is an interdisciplinary research unit active in the development of machine learning methods
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. Numerical models of varying complexity and different observational data sets are used to study atmospheric processes and phenomena on time scales ranging from single weather events to long term climate change
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(Methods for Active Informed Machine Learning). This project is a close collaboration with the Hasso Plattner Institute. We are developing and improving machine learning methods by integrating domain
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computational methods using network-based analysis, machine learning and dynamic modeling. We are a young, dynamic team at the idyllic Dahlem campus and teach mainly in the Computer Science, Bioinformatics and