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Field
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, knowledge and skills in using advanced statistical methods (e.g., HLM, SEM, non-linear dynamical systems) and programming skills (e.g., R, Python, MATLAB) as well as data mining techniques for analyzing
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, impedance analyzers, gas flow systems, and temperature-controlled test stations. Perform materials and surface characterization (e.g., SEM, TEM, XRD, XPS, BET, Raman, FTIR). Analyze and interpret
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equipment such as, rheometers, tensile testers and other characterisation techniques such as AFM, SEM, TEM, FTIR, XRD, TGA, DSC and fluorescence spectroscopy. To be willing to spend time in other research
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(UV-Vis, IR, Raman…), microscopies (TEM, SEM), electrochemistry, and other relevant physico-chemical techniques. Chemical process development: optimization of reaction conditions, analysis of yield and
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mindset. Desirable: Experience working with industry partners or on industry-focused research. Knowledge of advanced characterisation techniques (SEM, EDX, XRD, tribology). Experience with data-driven
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characterisation techniques such as AFM, SEM, TEM, FTIR, XRD, TGA, DSC and fluorescence spectroscopy. To be willing to spend time in other research groups in Sweden and/or in a foreign country. Our research is
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on the development and implementation of new workflows for the mineralogical and geochemical characterization of ore materials, using combined µXRF-mapping, SEM-based automated mineralogy, and laser ablation ICP-MS
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(SEM, DRX, XPS, etc.) · Experience in PVD and/or ALD is a plus. · High-level scientific and technological track record related to material chemistry and/or Li-ion battery is a plus
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will also use focussed ion beam milling scanning electron microscopy (FIB-SEM) to prepare infected cells for in situ cryo-ET. The resulting tomographic data will be analysed by machine-learning assisted
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with structural and chemical characterizations using state-of-the art techniques (SEM, DRX, XPS, etc.) Experience in PVD and/or ALD is a plus. High-level scientific and technological track record related