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the DFG-funded research project ICEBAY, which focuses on Bayesian hierarchical modeling and probabilistic inference for temperature reconstruction by combining borehole thermometry and ice-core data. The
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4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and
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schools, networking events and hackathons/datathons. Send your application if you can see the potential in thinking simulations and data together and if you are ready to conquer the data driven challenges
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. Simulated sensor data from a digital shadow will be incorporated to maintain cyber-physical consistency between the UAVs’ status in the model and in the real world. A key goal is to develop methods
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directly on our real test vehicles (see image) for automated driving. Application of modern software engineering approaches (e.g., agile methods, model-based development, CI/CD pipelines) in concrete
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to search for spectral signatures of gamma-ray and X-ray emission from Galactic and extra-galactic objects using the most recent models for the magnetic fields along the line-of sight. Doctoral research
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thus regulating cellular glycosylation (Voss et al . (2014), EMBO J), the laboratory has more recently employed state-of-the-art genome editing, tailored cellular models and advanced proteomics and
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thus regulating cellular glycosylation (Voss et al . (2014), EMBO J), the laboratory has more recently employed state-of-the-art genome editing, tailored cellular models and advanced proteomics and
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on existing demand-optimized network models, the project explores multi-objective optimization strategies to assess robustness against environmental and demand fluctuations, with the aim of supporting
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project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties