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years based on satisfactory performance and availability of funding. The Postdoctoral Research Scholar will join a team, under the direction of Prof. Michael Woodford, who studies the cognitive
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. Analyze coupled failure mechanisms involving heat generation, gas evolution, internal shorting, and structural degradation, and connect them to cell- and pack-level safety performance. Design model-based
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impacts of Iodine-131 releases, based on detailed knowledge of its physico-chemical processing in the atmosphere including the important inter-halogen reactions. Model findings will be cross-compared
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information; you are actively fueling the university’s research and teaching impact. The Research Service Area is evolving toward a team-based liaison model. You will serve as one of the liaisons
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of artificial intelligence (AI)-based spectral monitoring for radiofrequency signals for various applications as anomaly detection, modulation classification, sensing, and adaptive spectrum optimization, we
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procedures and maximize operational efficiency. The role requires proven data management, knowledge of software interfaces for handling of large data sets, strong command of data management compliance, and
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(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g
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build upon the existing Alpha framework (originally developed to model protein quality, see https://alpha-tool.eu ) and further develop it as a research-oriented modelling and demonstration platform
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relational database environments Apply and evaluate methods from causal inference (e.g., confounding control, bias assessment, sensitivity analyses) Apply machine learning approaches for predictive modeling
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synthesis, mu-analysis and model-predictive control Experience in model identification, validation and uncertainty quantification based on experimental results Expert proficiency in the use of MATLAB/Simulink