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the option of a tenured professorship. They include an option to fill one PhD/postdoctoral position (E13 salary grade with no teaching obligations). The successful candidates are expected to perform research
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an efficiency of 34.4%. The master's thesis described in this call for proposals is part of the WSS project (https://www.ise.fraunhofer.de/de/ press-and-media/news/2025/sustainable-energy-transition-werner
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Helmholtz-Zentrum Berlin für Materialien und Energie | Berlin, Berlin | Germany | about 2 months ago
them in scientific journals and at conferences. You will support project work, draw up reports and presentations, and prepare proposals for follow-up projects. You might supervise and train students and
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this limitation requires combining ML-based potentials with advanced enhanced-sampling and dynamic-reweighting techniques. This project aims to develop and apply new simulation methods for studying rare events in
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innovative support for young talents. Their international networks, interdisciplinary research collaborations, and progressive teaching concepts shape Berlin as a center of science. The Humboldt-Universität zu
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 28 days ago
the information they contain. This project, part of the Helmholtz School for Marine Data Science (MarDATA), will develop new data science methods to improve the interpretation of biodiversity patterns from long
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Degree Dr Course location Hamburg Teaching language German English Languages Teaching is delivered in both English and German (tailored to the individual needs of the students). In agreement with
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services in research and teaching in german language (3SWS - fabrication and characterization of electronic materials, nano- and quantum structures - setting up and conducting magneto-transport
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Marie Skłodowska-Curie Actions (MSCA) Industrial Doctoral Network which will develop advanced Nitinol alloys for medical device applications. MEDALLOY will provide world-class training for nine doctoral
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The successful candidate will develop generative machine-learning methods for amorphous molecular thin films — the supramolecular structures that govern the performance of organic-electronic materials