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understanding of selective precipitation in multi-metal sulfate solutions relevant to battery recycling. The PhD student will investigate how pH and redox/oxidation strategies can be used to selectively remove
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processing methods, are typically designed for operation in static environments: a model is trained on a fixed dataset and subsequently deployed for inference. However, real-world environments are often
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changes of photoreceptor proteins using time-resolved diffraction methods. A concrete goal will be to structurally characterize the structural effects of charge transfer (for example in cryptochrome and
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complex, three-dimensional microstructure, and understanding how that microstructure influences electrochemical performance requires methods that can bridge the scales from 3D imaging to functional
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working on robust methods for statistical learning
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method for mechanistic studies of electrocatalytic reactions. The ultimate goal of the project is to apply this new experimental tool to probe the fundaments of electrocatalysis. The doctoral project will
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in developing methods to quantify uncertainty
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the department, and how they stand to contribute to its future development. Additional qualifications Familiarity with common characterization methods (e.g., NMR, IR, MS, X-ray crystallography) is desirable. About
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‑mining and machine‑learning methods. The expected scientific outcome is to establish guidelines for identifying and optimizing promising electrolyte materials and to support the development of future
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systems, statistical physics and machine learning, and using these insights to develop new methods, with the support of competent and friendly colleagues in an international environment? Are you looking