163 engineering-computation "https:" "https:" "https:" "https:" "https:" "University of Cambridge" positions at Leibniz
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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
of processing steps and results Your qualifications: Ongoing B.Sc. or M.Sc. studies in geosciences, environmental sciences, geography, agricultural sciences, computer science, or a related field at a German
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to receiving your application with the usual documents (cover letter, curriculum vitae, certificates) by 18.01.2026, preferably via our online application portal. https://www.museumfuernaturkunde.berlin/en/jobs
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information on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ Please visit our
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at Thomas.Hickler(at)Senckenberg.de For data protection information on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our homepage at https
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is successful. For further information, please visit the website: https://www.kmk.org/zab/central-office-for-foreign-education.html For further information or to discuss the position please contact Dr
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on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ With the application you agree
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simulations Enhanced sampling Molecular Dynamics simulations Your Profile The ideal applicant has a strong background in bioinformatics or computational chemistry, as well as data analysis and solid
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refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ . For further information about the Senckenberg Gesellschaft für Naturforschung please visit www.senckenberg.de
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master’s program in Physics, Electrical Engineering, Computer Science, Photonics or a related field Prior knowledge in machine learning, data science, measurement technology, optoelectronics Interest in
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Skłodowska-Curie Actions (MSCA COFUND). The programme is focused on six research areas, which reflect the scientific pillars of Leibniz-HKI: discovery & engineering of novel antifungals from microbiomes