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scientific results in (high impact) journals with a peer-reviewed process Requirements: The ideal candidate holds a PhD in Bioinformatics / Computational Systems Biology or a closely related scientific
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to contribute to a sustainable open-source software environment, please send your application by July 16, 2025 to: Prof. Dr. Filip Sadlo Interdisciplinary Center for Scientific Computing (IWR) Im Neuenheimer Feld
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to engineering. For more information, visit our webpage www.epc.ed.tum.de/en/mfm. Your profile - M.Sc. degree in chemistry, physics, or informatics (candidates that will soon obtain the degree are also welcome
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engineering/electronics, information technology and computer science. We bring technologies from the laboratory to application maturity and transfer them to industry. Based on our technological research, we
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The mission of the Leibniz Centre for Agricultural Landscape Research (ZALF) as a nationally and internationally active research institute is to deliver solutions for an ecologically, economically and socially sustainable agriculture – together with society. ZALF is a member of the Leibniz...
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The mission of the Leibniz Centre for Agricultural Landscape Research (ZALF) as a nationally and internationally active research institute is to deliver solutions for an ecologically, economically and socially sustainable agriculture – together with society. ZALF is a member of the Leibniz...
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, biogeochemistry, ecological processes, environmental engineering talent for computational scientific work is necessary very good written and verbal English communication skills are required good communication
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strengthen cooperation between Ukrainian and German universities and to give young Ukrainian scientists access to research infrastructures in Germany. The aim of the programme is to support universities in
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technical infrastructure – ideal conditions for extensive system analyses, including institute’s own cluster computer and access to the HPC at the FZJ Opportunity to participate at international conferences
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industries. Overarching top topics at Fraunhofer ITWM are Machine Learning as well as Artificial Intelligence and Renewable Energies or Sustainability. In addition, next generation computing and quantum