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, medicine, physics, engineering, or related fields, apply to be part of our international, interdisciplinary research community. How to Apply We recruit twice a year in a highly competitive process
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-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application
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) and the Universität Hamburg (UHH). Why Join IMPRS-ESM? Interdisciplinary focus: We address the processes and dynamics of the Earth system at different temporal and spatial scales to improve predictive
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degree in chemistry Documented experience in synthetic organic chemistry Fluent English language skills German language skills are a benefit but not a must Selection process The formal application should
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BAM Bundesanstalt für Materialforschung und -prüfung | Berlin, Berlin | Germany | about 2 months ago
engineering and chemistry to improve the safety of products and processes. At BAM we do research that matters. Our work covers a broad array of topics in the focus areas of energy, infrastructure, environment
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. Additionally, you will also benefit from established collaboration with know-how on data processing and access to state-of-the-art cryo-microscopes. Tübingen is an international, dynamic, and lively university
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reconstruction, processing and quality-control tools in a transparent and reproducible way. You will have the opportunity to: Develop a modern, open and extensible software ecosystem for optoacoustic image
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sustainable operation of future energy networks by combining our knowledge of energy systems with cutting-edge developments in machine learning, generative AI, and digital infrastructures. Your Job
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are an advantage Please feel free to apply even if you do not yet meet all the required skills and qualifications. We may be able to provide training for these during the onboarding process. Our Benefits for You We
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companies. The project has partners from eight different EU countries. All 15 Ph.D. projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications in