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Field
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Your Job: Investigate current challenges and bottlenecks in power flow analysis for large scale electrical distribution grids Apply machine learning/AI or surrogate modeling (e.g., neural networks
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fields of expertise that complement the Faculty’s research in the humanities and social sciences in the following areas: human-machine interaction; AI usability; accessible and inclusive AI; AI ethics
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in close collaboration with domain and machine learning experts. The position is expected to start in June 2026 and will be embedded in collaborations across the ELLIS Unit Jena. Part-time work is
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the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data
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of Excellence CMFI Cluster of Excellence GreenRobust Cluster of Excellence HUMAN ORIGINS Cluster of Excellence iFIT Cluster of Excellence Machine Learning Cluster of Excellence TERRA CIN LEAD Graduate School
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practices Linux OS, Git-based version control Knowledge in combinatorial optimization Experience in implementing machine learning solutions (in particular reinforcement learning) Experience with one or more
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assessment, programming and machine learning. If so, we encourage you to apply! You will develop exposure and physical vulnerability maps for past and future (1970-2100) and integrate these into a flood risk
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Knowledge in the field of Machine Learning, including training, inference, and optimisation of transformer architectures Knowledge in the field of ML security is desirable. Good Python skills, especially with
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sensor data, machine learning, and privacy-first architectures come together in healthcare. Be part of change As CDO, you own CAELIA’s data and AI backbone. Your success will be measured by how well our
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compiler, code generation, computer architecture and machine learning would be beneficial an independent, target- and solution-driven work attitude inter- and multidisciplinary thinking an integrative and