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-field measurements, HPC-based numerical simulations, and laboratory experiments. Oldenburg is particularly renowned for its unique large wind tunnel with an active grid and leading expertise in developing
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DIPF | Leibniz Institute for Research and Information in Education contributes to addressing challenges in education through empirical research, digital infrastructure and knowledge transfer. At its
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these into marketable products and processes. The EU-funded “Eastern Lights” project will drive risk mitigation in large-scale carbon capture and storage (CCUS) in Eastern Europe. CO2 transport and underground storage
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various diseases, including but not limited to cancer, metabolic disorders, and infections. The research design involves the integration of large-scale biological datasets derived from both the host and the
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Your Job: In this position, you will be an active part of our Simulation and Data Lab for Applied Machine Learning. Within national and European projects, you will drive the development of cutting
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measurements at on- and offshore wind farms and a high-performance computing cluster. Almost all our projects combine analyses at more than one of these infrastructures. Further information is available
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, such as evaluating the robustness of their ML pipelines to data errors and potentially leverage the code generation capabilities of large language models. The resulting methods will be accompanied by
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processes, and the application of AI methods in engineering. Description: Nowadays, computer-aided manufacturing (CAM) methods are used to a large extent for the production of complex machine components, in
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position is part of a large cooperation project with partners from industry and academia. The candidate will measure and model data on the reaction kinetics and mass transfer in reactive chemical systems. A
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most data sources are in German. Candidates should work independently and be willing to familiarize themselves with new topics and methods, including machine learning and the handling of large data sets