2,138 computer-science-intern "https:" "https:" "https:" "https:" "Central European University" positions in Germany
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facility project management, reporting and publishing Your qualifications and skills: You hold a PhD in Biology or equivalent. You have a strong experimental (wet-lab) and theoretical background in genetics
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. International young and experienced scientists from various disciplines develop interactive materials based on the principles of nature. It is a location at which people with different talents, experiences and
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of proteins and assembly of protein complexes in vitro. Work in an interdisciplinary and international environment. Contribute to the preparation of presentations and research publications. PhD students have
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | about 2 months ago
30 Jan 2026 Job Information Organisation/Company Leibniz-Institute for Food Systems Biology at the Technical University of Munich Research Field Biological sciences Computer science Researcher
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. Where to apply Website https://jobportal.uni-koeln.de Requirements Research FieldJuridical sciences » International lawEducation LevelMaster Degree or equivalent Additional Information Work Location(s
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27 Feb 2026 Job Information Organisation/Company LEUPHANA UNIVERSITY OF LUENEBURG Research Field Management sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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Group of Production and Resource Economics offers a highly international and stimulating work environment that promotes individual creativity and effective teamwork with a clear focus on quality output
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institutions from academia and industry: https://euraxess.ec.europa.eu/jobs/401249 . Your mission The aim of the project is the development of a physical model of the initial solidification of steel during
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sequencing output. This project brings together chemical biology, molecular biology, and computational science to achieve direct, single-molecule resolution of RNA cap structures. Job-ID: V000015123 Field
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adaptive systems that jointly optimize morphology and control for real-world physical interaction. Requirements Ph.D. in Computer Science or a related discipline. Strong background in Machine Learning