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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of biodegra
: December 31st, 2025 EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of biodegradation of additively manufactured Mg and Zn alloys under mechanical load. Host
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applicants with purely (bio-)informatics background will not be considered. For inquiries, please contact: Prof. Gerd Meyer zu Hörste, gerd.mzh@uni-muenster.de Apply now via our career portal including CV and
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2026 or as soon as possible thereafter. We expect Degree. A two-year master’s degree (120 ECTS) in Robotics, Electrical Engineering, Software Engineering, Computer Science, or an equivalent field (or a
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with backgrounds in computer science, engineering, information systems, economics, management, law, and other fields, united in pursuit of sustainable technologies that positively impact society. For
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The International Max Planck Research School for Chemistry and Physics of Quantum Materials is a joint PhD program between the Max Planck Institute for Chemical Physics of Solids in Dresden
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Project Description We invite applications for a fully funded PhD position in experimental proteomics. The successful candidate will contribute to a fundamental research program exploring chemical
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Via Multiple Noncovalent Interactions” in the second funding phase at the Martin Luther University Halle-Wittenberg will start with a highly interdisciplinary and ambitious research program in November
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to the success of the whole institution. The Faculty of Electrical and Computer Engineering the Institute of Semiconductors and Microsystems together with the German Cancer Research Center site Dresden, Division
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Participating in the CRC 1450 graduate school and presenting research findings at internal meetings and international conferences REQUIREMENTS: A Master’s degree in Physics, Computer Science, Biomedical Imaging
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both