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Degree PhD, Dr rer pol Course location Jena Teaching language English Languages English Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any
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(UTC) Type of Contract To be defined Job Status Other Offer Starting Date 13 Oct 2025 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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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of additively manufactured Mg alloys for biodegradable implant applications. Host: Helmholtz-Zentrum Hereon
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the generation of statistically distributed microporosity for specific components What you bring to the table You are a student of industrial engineering, mechanical engineering or a comparable engineering degree
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2025 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Offer Starting Date 18 Sep 2025 Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job
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-driven simulations, optical remote sensing and biogeochemical modeling to predict seagrass distribution under various climate and nutrient scenarios. SEAGUARD aims to provide science-based recommendations
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bridging satellite remote sensing applications with large-scale AI, high-performance, and innovative computing. Within national and European projects, you will collaborate with our partners and drive
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
(Deutsches Elektronen-Synchrotron/German Electron Synchrotron) and Scanning Kelvin Probe Force Microscopy (SKPFM) for visualising the distribution of cathodic phases in bulk and on plane, along with integral
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institutions, and contribute to advancing knowledge in their respective fields. Program Highlights 1. Duration: Our joint postdoctoral program has a duration of four years, with an equal distribution
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/d) in Energy Informatics, specifically for a DFG project in wind power forecasting using machine learning. You are passionate about applying cutting-edge information technology to solve the energy and