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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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to leverage quantum computing and quantum sensing technologies for the development and optimization of next-generation batteries. Quantum computing bears tremendous potential in the simulation of interactions
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Your Job: Be part of an engaged, interdisciplinary team of scientists and engineers with diverse backgrounds and skills at the interface of neuroscience and computing Coordinate a third-party funded
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on these considerations, solutions will be developed and implemented to create an advanced testing platform for the comprehensive evaluation of the long-term stability of invasive brain-computer interfaces. Your task will
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tasks: You will work together with renowned astrophysicists and computer scientists in the DFG-funded “Dynaverse” Excellence Cluster You will invent, implement, and benchmark novel AI tools (reinforcement
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2038 - 03:14 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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training schemes for large models on high-performance computers like JUWELS and JUPITER at the Jülich Supercomputing Center. If you`re passionate about AI research and eager to make a real-world impact, we
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Integrate findings into the existing package synthetic grid tool for generating realistic medium-voltage distribution grids Collaborate with domain experts from energy modeling, geoinformatics, and data
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structure and phase purity using X-ray diffraction. Prepare samples for TEM using plasma FIB. Analyze the microstructure, interface sharpness and defect distributions using TEM. Correlate MBE growth
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well as spectroscopic methods to determine their composition, structure, and oxidation-state distribution. In addition, variable temperature and pressure studies will be carried out to probe their structural stability