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disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with
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, remanufacturing, repurposing and recycling to each other for the realization of an agile network. Various machine learning approaches will be used here. Your tasks are: Requirements definition, survey and
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quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team orientation excellent spoken and written English and the
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with scientific programming (e.g., MATLAB, LabView) is advantageous Knowledge of scientific instrumentation and electronics is desired Experience with (or willingness to learn) stop-flow spectroscopy and
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/de/hochschule/stellenausschreibungen/. Please send your complete application (cover letter, CV, certificates etc.) by 28th of July 2025, quoting the reference number 14/2025, preferably electronically
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to receiving your application. Please send it with the usual documents with reference to your research interests and experience (please without photo) by 30.09.2025 with the corresponding keyword
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, discounts and vouchers Application and Contact: Please send your application materials as a single PDF file to Prof. Dr. George Cutsail, george.cutsail@cup.lmu.de, using GC-010 in the subject line. Your
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(DAAD) Branch Office Beijing DRC Building D1, 1102A 19 Dongfang Donglu, Chaoyang District 100600 Beijing, VR China Tel.: +86 010/6590 6656 Fax.: +86 (10)/6590-6393 E-Mail: postmaster@daad.org.cn WWW
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/phytophotonics Please submit your application and supporting documents by June 29, 2025 electronically to Email: dag.heinemann@hot.uni-hannover.de or alternatively by post to: Gottfried Wilhelm Leibniz
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by post to: Gottfried Wilhelm Leibniz Universität Hannover Hannoversches Zentrum für Optische Technologien Abteilung Phytophotonik Dag Heinemann Nienburger Str. 17, 30167 Hannover Information