11 process-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions at Forschungszentrum Jülich
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The Einstein Telescope is a next-generation research infrastructure currently in development, featuring a large-scale computing center whose energy demands present a unique opportunity: to develop climate-neutral operations through the integration of renewable energy sources and hybrid storage...
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, microstructure, manufacturing processes, and electrochemical performance to develop next-generation iron anodes for rechargeable iron–air batteries. The project combines electrochemistry, materials science, and
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of trustworthy, scalable, and interoperable AI solutions for the operation and management of modern electricity networks. We are currently seeking a Ph.D. student to research the following topics: Development
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which technology and research fields are advancing. Furthermore, you will also extend the indicator beyond novelty toward quality assessment and validate the reliability, robustness, and fairness of LLM
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companies. The project has partners from eight different EU countries. All 15 Ph.D. projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications in
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evaluation strategies. In close collaboration with chemists, engineers and data scientists, a platform is being developed that combines materials development, process optimisation and machine learning
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segregation, interface-related energy losses, and insufficient process reproducibility. Addressing these challenges requires a workflow that connects rapid materials and process exploration with rigorous device
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-mechanical properties. Alternatively, cell concepts based on metallic support structures exhibit excellent mechanical strength but require fundamentally different manufacturing processes. The most common
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scientists, software engineers, and experimental researchers on topics including: Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e.g., SEM, TEM, EBSD
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from detector systems to data servers. 3. Data processing and quantitative analysis Advancing data processing workflows, including classification, alignment and quantitative analysis. Applying advanced