481 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" PhD scholarships in Germany
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research, field campaigns and data analysis Very good experimental skills; experience in mass spectrometry and/or aerosol measurements is an advantage Experience with, or strong motivation to learn
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October 2026 (earlier starts are possible if desired). Applications can only be submitted via our online system. For online application and further information go to: https://www.uni-muenster.de/CiM-IMPRS
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and collaboration skills Fluent in English Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be able to teach you missing skills during
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The analysis of generated data and communication within an interdisciplinary team made up of people working in natural, life and computer sciences as well as medicine Presenting the research outcome in lab
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website regularly: https://www.cih.lmu.de/education/study-programs/phd-program/application Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree
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science and information science techniques. Several areas of computer science and mathematics play important roles: data management and engineering, machine learning and data analytics, signal and image
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Supervisors: https://www.fz-juelich.de/en/judocs Targeted services for international employees, e.g. through our International Advisory Service The position is for a fixed term of 3 years, with possible long
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microbial electrosynthesis cell for the treatment of aquaculture waste water More details: https://www.science.hr/jobs/221198/development-of-a-microbial-electrosynthesis-cell-f/ Development of an MRI-based in
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RPTU University Kaiserslautern-Landau • | Kaiserslautern, Rheinland Pfalz | Germany | about 22 hours ago
environment of the transregio, one of the leading thoughts is the implementation of the general ''Problem-Based Learning'' principle, i.e., to combine the studies with hands on experience in research wherever
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/) and the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https://www.ikz