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Disse), the Chair of Geoinformatics (Prof. Thomas H. Kolbe), and the Chair of Algorithmic Machine Learning & Explainable AI (Prof. Stefan Bauer). The project aims to develop an integrated urban flood
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research in a variety of areas in biology and computation, with possible specializations in genomic and molecular biology techniques as well as in algorithms, statistics and artificial intelligence
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for traceability, robustness, and physicochemical correctness Implement and adapt the most promising algorithms to model radionuclide migration in crystalline host rocks Execute proof‑of‑concept ML simulations and
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, particularly insect decline and species distribution models (SDMs), are desirable • Experience with and knowledge of a programming language commonly used in data science (e.g., R or Python) • Experience and
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ecological modelling, particularly species distribution models (SDMs), are desirable LanguagesENGLISHLevelGood Research FieldEnvironmental science » Ecology Additional Information Work Location(s) Number
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algorithms to compute similarity between interaction interfaces across millions of comparisons. This hinders identification of novel modes of protein binding, i.e. those predicted by AlphaFold, and it hinders
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employment Doctoral students are encouraged to apply for research positions within the MCLS initiatives. Accommodation The International Office helps visiting academics, PhD students, and postdocs who
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applications for a PhD Student or Postdoc Position (f/m/d) for any of the following topics: Combining non-equilibrium alchemistry with machine learning Free energy calculations for enzyme design Permeation and
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groups are strongly encouraged to apply. Your Tasks: Development and application of algorithms for modelling, evaluation and visualization of ultrafast processes Investigation of ultrafast dynamics in
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of algorithms and digital neuromorphic hardware is an additional avenue for enhancing the efficiency of the methods. In this context the research will explore digital, event-based implementations