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computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational
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interdisciplinary program, HEIBRiDS trains young scientists in Data Science applications within a broad range of natural science domains, spanning from Earth & Environment, Astronomy, Space & Planetary Research
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labour agreement for public service of the federal states (TV-L EG13). The Leibniz Institute of Atmospheric Physics advances the scientific knowledge of the coupling between space and atmosphere by
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Description Gen-Q is a doctoral training programme set up by Eucor – The European Campus EGTC. It provides 13 doctoral positions with an international, interdisciplinary and intersectoral focus
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) program - one of the four scientific pillars of the upcoming FAIR (Facility for Antiproton and Ion Research) facility currently entering its commissioning phase. In particular, the DESPEC experiment
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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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
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The Leibniz Institute for Solid State and Materials Research Dresden e. V. (IFW Dresden) conducts modern materials research on a scientific basis for the development of new and sustainable materials
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in the field of chemistry, physics, material science or another related degree program with a scientific or engineering focus Advanced knowledge of classical chemical simulation such as DFT or other
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. As a trailblazer and driving force for innovative developments and scientific excellence, it helps to shape our society and our future. For over 35 years, the Fraunhofer Institute for Production