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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
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. Applications from people of all nationalities are welcome. Please send your application with the usual documents (at least consisting of CV, Master's degree certificate and transcript of grades from the Master's