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(MPPT). Your profile: We are looking for motivated individuals (m/f/div) with a Ph.D. degree in Electrical Engineering, Materials Science, Physics, or a related field. Candidates should have a proven
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following areas: Mathematical Analysis/ Numerical Analysis/ Theoretical Machine Learning Please note: Applications from candidates with degrees in other disciplines (e.g., Computer Science, Engineering) will
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sciences and medicine. The Neuenheimer Feld Campus of Heidelberg University is the largest campus for natural and life sciences in Germany, where the Faculty of Engineering Sciences bridges material sciences
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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
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program that includes lectures, advanced scientific workshops, complementary skill courses and opportunities for career development a mentoring program to guide and promote young scientists Salary: Payment
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: Masters and subsequent PhD in Physics, Chemistry, Material Science or related disciplines Experience in neutron spectroscopy, e.g. INS, QENS, NSE Good knowledge of the structural characterization of matter
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Bioprogrammable Materials is looking for an enthusiastic Post-doctoral Researcher with experience in Protein Engineering. We combine synthetic biology and biomaterials to develop smart platforms for therapeutics
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Infection Biology (www.leibniz-hki.de I https://www.leibniz-hki.de/en/ ) have launched the SynThera initiative (www.synthera.eu ) funded by the Carl Zeiss Foundation, which aims to design, create, and deploy
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approaches to electrolyte systems Requirements: Candidates must have a Ph.D. in Physics, Chemistry, Applied Mathematics, or related fields. Desirable: - English language fluent, spoken and written - excellent
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research on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains PhD degree in computational biology, bioinformatics