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PhD Position - Operando X-ray Characterization of Catalytic Interfaces for Chemical Hydrogen Storage
present the work at domestic & international scientific events. Work closely with colleagues across IHE, Forschungszentrum Jülich, partner universities, and large-scale light source facilities. Your Profile
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The Max Planck ETH Center for Learning Systems (CLS) addresses cross-disciplinary research questions in the design and analysis of natural and man-made learning systems. The excellent engineering
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interface graph extraction, large-scale repository mining. Parallel data pipelines. `multiprocessing`, Ray or Dask; checkpointing, heartbeats, cost estimation before launching a run that touches millions
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tuned! Our call for PhD Applications is opening very soon!!! Previous Excellence Connects Us. 🫶 Being part of our International Max Planck Reserach School means more than a world-class, research-based
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, extending in particular into the extreme ultraviolet (XUV) and soft X-ray regimes. Experiments at MBI’s in-house facilities are complemented by access to large-scale accelerator-based sources, including free
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the practical deployment of rechargeable iron–air batteries in future large-scale energy storage applications. As a PhD researcher, you will investigate the relationships between electrode composition
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/ The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When
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large-scale, literature-derived, technology-parameter databases as the driving use case Apply the method to improve energy system analysis in collaboration with energy system modelers
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11.11.2024, Academic staff In the project “BIG-ROHU” (BIG Data - Rotor Health and Usage Monitoring), a system is being developed which provides information on both the health and the actual stress
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architectures for foundation models The work will combine methodological development with large-scale experiments, aiming for contributions at leading machine learning and computer vision venues such as NeurIPS