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well as material characterization would be beneficial basic knowledge of plasma physics, thin-film technology, and semiconductor physics would be an advantage fluency in English - written and oral We offer: You will
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priority for employment. How to apply: Interested candidates are invited to submit one single PDF containing the following documents in this exact order: Application form ( https://www.verw.tu-dresden.de
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project work plan and milestones Your profile Completed university studies (Master/Diploma) in the field of Chemical/Metallurgical/(Mineral) Process Engineering, Data Science, Statistics, Machine Learning
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will be matched with PIs’ projects. Who can apply? We are looking for excellent candidates with a completed Master’s degree in various fields (Life Sciences, Bioinformatics, Mathematics, Physics
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by post to: Gottfried Wilhelm Leibniz Universität Hannover RTG 3158: Quantum Photonics Laboratory of Nano and Quantum Engineering Schneiderberg 39, 30167 Hannover Germany http://www.uni-hannover.de/en
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to undertake other tasks, which are broadly in line with the above duties and responsibilities. Requirements: university degree (e.g. Master) in aerospace engineering, electrical engineering, physics or related
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in the application process at: https://www.tu-clausthal.de/universitaet/karriere-ausbildung/stellenangebote/hinweise-zum-datenschutz-im-bewerbungsverfahren . Submitted application documents will be
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independently and in a team Programming skills (Python) and lab working experience are strong advantages. Benefits You will be working in an international research group at the Institute of Applied Physics
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of machine learning (ML) strategies for analyzing X-ray and neutron scattering data. You will be working in an international research group at the Institute of Applied Physics together with experienced