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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 3 hours ago
Job Offer from August 26, 2025 The Fritz Haber Institute of the Max Planck Society for the Advancement of Science is one of the most internationally renowned research institutes. More than 400
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technology, communication and artificial intelligence are combined, fostering synergies with the local industry and aiming for close cooperation with the city of Ingolstadt and its partners. With research
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of Science, School of Computer Science and Engineering, and School of Business, Social and Decision Sciences. Our principles are first-class teaching and research, international diversity, and
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of rare isotopes using an ion cooler Requirements: very good research-oriented university degree in a discipline that is relevant to our research fields (such as physics, computer science, electrical
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from models. Your Qualifications / Experience: • A Bachelor or Master in computer sciences, engineering, physics, mathematics, or a related discipline • Work experience in data management and scientific
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Design Technology in Berlin has stood for excellence in production science. We are dedicated to bridging the gap between science and practice in the field of industrial production and offer application
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Germany Application Deadline 12 Sep 2025 - 21:59 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 21 Aug 2025 Is the job funded through the EU Research Framework Programme? Not
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initiatives, Collaborating with and training of scientists within TERRA projects in the field of research-data management. Candidates should have completed an MSc in natural or computer sciences, should have
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to scientists and investigate possible applications of ML in fields like Chemistry, Numerics, Computational Biology, Astrophysics, Heliophysics etc. You will be involved in all phases of this process. You will
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interdisciplinary and transdisciplinary research at the interface between data science, life sciences, and bioeconomics. The professor will closely cooperate with the TUM School of Computation, Information and