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experimental planning and sample preparation to data collection, processing and interpretation. Developing, implementing and optimizing workflows for cryo-ET sample preparation, data acquisition and data
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research and education in the field of chemical processing for batteries. The new associate professor is invited to collaborate with the department's and Compel's researchers in an environment that
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skills in relevant IT and programming environments for measurement control and data processing (e.g. Python, MATLAB, LabVIEW or similar). Excellent command of spoken and written English. Additional
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hydrometallurgical processing. A research stay at Université de Lorraine in France, where the candidate will work on leaching and purification processes, is an integral part of the project. The
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experimental workflows, data-driven experimental design, hypothesis generation or process modeling, deep learning for spectroscopic data or image processing, and applications of physics-informed machine