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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
Engineering, Nuclear Engineering, or a related field # Strong background in the mechanical behavior and fracture mechanics of metallic materials # Experience with finite element modelling, in particular in
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with industry in both teaching and research, and has established close links with international academic institutions and partners. https://www.utc.fr/en/courses-and-training/the-utc-engineering-diploma
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of Arctic Phytoplankton, within the Research Council of Finland-funded project on "Climate-driven Dispersal, risk or potential for Arctic diversity". The position is full-time, and the preferred starting date
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in AI-driven materials discovery, machine learning applications for materials, or generative AI related to materials. The successful candidate will independently lead a project focused on developing
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research. Its focus areas are technology, health, and society. The university regards the competence of staff as its most important strategic asset and supports its development. For further information
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dissection. · Experience with the characterization and phenotyping of genetically engineered or experimentally induced mouse models. · Experience with skeletal muscle phenotyping, including
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, ORCA, Q-Chem, xTB, RDKit, ASE, or related tools is highly valued. Interest in machine learning, statistical modeling, active learning, descriptor development, or data-driven reaction prediction. Ability
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of engineering, data science and industry collaboration, and is driven by the opportunity to create real-world solutions to complex energy challenges. You will lead modelling, optimisation and feasibility studies
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guidance and navigation, data-driven modelling of spacecraft and environmental dynamics, mission planning and operations, and on-board learning in resource-constrained environments. You are strongly
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of Biomedical Engineering and Imaging Sciences (https://www.kcl.ac.uk/bmeis ) is a cutting-edge research and teaching School dedicated to development, translation and clinical application within medical imaging