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, mathematics, and material or computer science. The current call is open from 1st August till 30th September 2025. Other important prerequisites for working in our international and multidisciplinary institute
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Ph.D. or equivalent degree in mathematics, physics, computer science, bioinformatics, or a related field Experience in developing deep learning models Ideally, prior experience in analyzing biological
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Physics, Chemistry, Applied Mathematics, or related fields. Desirable: Fluent English, spoken and written Strong background in computational Physics and Statistical Physics Previous work experience in
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supervision collaboration in national or international research projects (optional) Requirements: university degree in Computer Science, Computational Linguistics, Mathematics or a related field solid knowledge
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) is considered valuable for integrating perception with control during deployment. Your Profile: Current master studies in physics, computer mathematics, electrical/electronic engineering or a related
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Mathematics to develop and refine tools and models, advancing H-MBE technology and material science. If you are passionate about computational materials science and eager to drive groundbreaking research, we
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Master’s Student (m/f/d) – Thesis The Leibniz Institute for Food Systems Biology at the Technical University of Munich (LeibnizLSB@TUM), a legal foundation under civil law based in Freising, is a prominent member of the Leibniz Association. Our institute integrates cutting-edge biomolecular...
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presentation and publication of the results Requirements: university degree (Master's or equivalent) in geodesy or a related subject (geophysics, geoinformatics, physics, mathematics) excellent analytical skills
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to the outside world Your Profile: You have a Master’s degree in the field of computer science, mathematics, engineering, a related discipline or of communication science. Proven experience in community management
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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data