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Field
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Project: The successful candidate will contribute to a research project focused on the development, testing, and analysis of resilient geotechnical systems. The work will rely on centrifuge modeling
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models). Familiarity with computational tools for data analysis and/or simulation. Key Responsibilities & Accountabilities Lead the development of experimental platforms for mechano-electrochemical
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estimation, sensitivity analysis and uncertainty quantification; implement interpretable, validated computational models using modern simulation and inference toolchains, including MuJoCo, Isaac-based
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not limited to) identifying effective tutoring practices, running experiments on AI tutors in simulated and real-world environments, fine-tuning AI models to classify qualitative data, and building
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of experimental and/or simulation data, the development of predictive models linking cellular responses to the properties of the surrounding environment, and the implementation of explainable AI approaches
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projections under climate change and plays a key role in evaluating flood safety targets and risk-reduction measures. We are looking for a candidate to run the GFZ model chain RFM (Regional Flood Model
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learning, understand their mathematical foundations, and connect them to space-related technologies and missions. The focus is on building rigorous models that explain and predict the behaviour of modern
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at the heart of its educational project as a driving force of a business model. In its research approach, the UM6P promotes transdisciplinary, entrepreneurship spirit and collaboration with external institutions
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, information technology or a related field or has a foreign degree that is considered equivalent to a PhD documented experience in research in simulation-based modeling and optimization of complex industrial
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the deployment of the co-development pathways. The postdoctoral researcher will work closely with colleagues developing pathways in Work Package 3, modelling and simulation tools in Work Package 2, and case