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concise, insightful reports and manage key performance metrics for self-service analytics across teams. Conduct literature and internet research on international energy economics, renewable hydrogen
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Scientific Assistant (f/m/d) Peptide Engineering: Molecular Modeling, Machine Learning and Quantu...
thought and action. The profile of the Helmholtz Association The Helmholtz Association performs cutting-edge research which contributes substantially to solving the grand challenges of science, society and
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) and the German Academic Exchange Service (DAAD) since 2007. Under this CAS-DAAD joint programme up and coming young Chinese scientists from the University of Chinese Academy of Sciences (UCAS) and CAS
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of the PhD programs at the University of Göttingen (see www.gauss.uni-goettingen.de ). The project is highly collaborative and will benefit from working with experts in computer and data sciences, behavioral
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Job Advertisement HKI-38/2025 The Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI I https://www.leibniz-hki.de/en/ ) investigates the pathobiology of human
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related to earth sciences for a master’s programme in Germany starting in 2024 (subject to programme resources). Who can apply? Applicants: have successfully completed generally a bachelor’s* degree/a
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow's technology in-house for a sustainable and secure society. When will
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of chemistry, biochemistry or comparable Salary group 13 TVöD Temporary contract until 30.06.2026 under the reserve that funds are granted Full-time / suitable as part-time employment The Bundesanstalt für
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PhD Student / Postdoctoral Researcher (gn*) Molecular Biology Reference Number: 10836 Fixed term of 3 years | Full- or Part-Time (65% or 100%) | Salary Grade TV-L E13 | Centre of Reproductive
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scientific journals and conferences Your Profile: A doctoral degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural