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– 2025/MO 3 Commencement date: March 1st, 2026 Work location: Geesthacht Application deadline: December 31st, 2025 EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study
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to the table You have a master's degree (technical college, technical university, university) in mechanical engineering, physics, computer science, electrical engineering, materials engineering, materials
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genetics, genomics, imaging processes, computational biology and biochemistry. Our goal is the deep and detailed understanding of fundamental mechanisms in plant biology, which may also then be used
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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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Deutsches Zentrum für Neurodegenerative Erkrankungen | Ulm, Baden W rttemberg | Germany | 10 days ago
Application Deadline 19 Dec 2025 - 14:04 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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, material testing process Your Profile: Excellent masters degree in Chemical Engineering, Materials Science, Data Science, Mechatronics or a similar discipline Strong interest in pursuing research
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you can expect By joining this PhD programme, you will be part of a world-class research programme in the fields of biopolymers and materials sciences for healthcare. As a PhD candidate, you will be
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dynamical imaging in all areas of science, covering physics, chemistry and biology. 29 Interdisciplinary doctoral PhD projects in the fields of Ultrafast Science and Quantum Materials Research The program
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doctoral PhD projects in the fields of Ultrafast Science and Quantum Materials Research The program offers exciting research opportunities at ultra-intense electron and X-ray sources to directly observe
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-based tools in water electrolysis research Collaboration with computer science, catalyst synthesis and characterization, and theory groups to optimize water electrolysis using the knowledge obtained in