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Field
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conducting lifetime modeling, developing advanced condition monitoring techniques, and applying data-driven analytics for lifetime prediction. You will play a central role in integrating experimental insights
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, artificial intelligence, computer science, or related field. strong enthusiasm for these fields, specifically with enthusiasm for drones excellent research and analytical skills, including experience with
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research area; Well-developed programming skills; Strong analytical skills and innovative attitude; Experience and the motivation to expand interdisciplinary team-work, collaborating with stakeholders, and
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. Completed a PhD degree in a highly quantitative and analytical discipline (electrical engineering). Very good command of English, in both writing and speaking. You enjoy performing research. You are
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contributions and career development. You have strong analytical skills and an eye for methodological reflection. You are a team player who actively contributes to a collegial, open, and inclusive work
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modification techniques and characterization methods Proficiency in analytical techniques such as spectroscopy, microscopy, and surface analysis methods Experience with cleanroom processes and microfabrication
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. Embrace the array of cutting-edge spectroscopic and analytic techniques (e.g., EPR, SEC, Raman, IR and TGA) within the Inorganic Chemistry and Catalysis (ICC) section, enhancing your proficiency in catalyst
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into molecular bonds. Job requirements Essential job requirements: Strong research record on battery modelling research. Completed a PhD degree in a highly quantitative and analytical discipline (electrical
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well as application driven. This is done in close cooperation with the chemical, flavor & food, medical and high-tech industries. Research is organized into four themes: Analytical Chemistry , Computational Chemistry
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of the following fields: educational and learning sciences or soil science. analytical skills, capacity to review literature and map state of knowledge on soil health and sustainability ability to identify synergies