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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 3 months ago
, you will develop efficient machine-learning models for fast, automated data processing and decision support, e.g. regarding the identification of adaptation needs. # You are expected to publish in peer
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testing in materials science, materials 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
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Your Job: Hydrogen is a key element of the energy system of the future. However, in many processes it is only produced in limited purity and/or is only available at low pressures. Your task is to
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growing University with round about 21.000 students. The university’s wide range of expertise covers subjects in the natural, applied, cultural and social sciences. At the Faculty of Humanities and Cultural
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growing University with round about 21.000 students. The university’s wide range of expertise covers subjects in the natural, applied, cultural and social sciences. At the Faculty of Humanities and Cultural
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. We advance the understanding of dynamic processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing
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. Commencement into the program is contingent upon PhD thesis submission 3. Fellowships: During their time at MPG, postdocs positions are according to the German regulations and guidelines, and based
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Area lies on analysing land-ocean material fluxes, their management and their consequences for tropical coasts as zones of complex transformation processes. We expect the candidate to have interest and
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agreement of the state Hesse (TV-H) / E13 Founded in 1817, the Senckenberg Research Institute and Natural History Museum in Frankfurt am Main is one of the world’s leading research institutions in the field
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scientific journals and conferences Your Profile: A doctoral degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural language