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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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application, you confirm that you have read and understood our data protection guidelines and privacy policy and that you agree to your data being processed in accordance with the selection process.
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Description Who We Are: The Cutsail research group at Ludwig-Maximilians-Universität (LMU) Munich is seeking a highly motivated PhD student / research assistant for full-time, on-site work in the
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) Optimization and tuning of catalyst layer performance and durability: morphology, hydrophobicity, porosity Product analysis and analytical chemistry; investigation of side reactions System process analysis and
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of ex-change platforms (database, information pages, etc.); summarizing the results of the individual PhD study project in a dissertation. Successful candidates will work together with approx. 18 PhD
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis .
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professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR can be found
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=25576 PhD student in cancer proteomics (m/f/d) Stellenanzeige merken Stellenanzeige teilen available
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academic qualification (usually PhD). Job ID:RTG2947-T7 Title:Microclimatic effects: Weather-robust UAS flight planning and operation Investigators:Dr.-Ing. habil. Judith Rosenow, Chair of Air Transport