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on digital innovation, quantum-enhanced modelling, and resilient infrastructure systems Base Salary Level A, $117,936 - $125,896 + 17% superannuation About the opportunity The Faculty of Engineering at
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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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to 2 postdoctoral researchers on technology foresight for policy-driven low-carbon technologies. The postdoctoral position will focus on developing data-driven approaches for probabilistic modelling
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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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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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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 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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, 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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Applications are invited for a Postdoctoral Research Associate in transportation data science and statistical modelling, based in the Centre for Transport Engineering and Modelling (CTEM
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. Documented programming skills to compute data driven simulation models and AI systems. Ability to develop monitoring and evaluation framework and collect data. Fluency in English, both written and spoken, as