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-fidelity modeling, digital twins, generative models, adaptive optimization, or autonomous experiment–simulation workflows. Excellent written and oral communication skills. Motivated self-starter with
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analysis, with the long-term goal of enabling health-aware battery management and optimized charging strategies. Qualifications Requirements A doctoral degree or an equivalent foreign degree in Control
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the recently upgraded hadron calorimeter, trigger system optimization, and improvement of particle flow reconstruction. We are currently engaged in measurements involving the top quark, searches for rare Higgs
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AI-driven decision making. It will be conducted in collaboration with the Automatic Control group (from Department of Electrical Engineering) and the Mathematical Optimization group (from Department
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optimization, and application-driven performance analysis for HPC, scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature
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of the produced powders and films: SEM/EDS, TEM, XRD, ICP-OES, EBSD, etc. Correlate material morphology and composition with final TE material and device performance. Develop TE devices optimized for both energy
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, or cyber-physical systems Strong expertise in at least one: power system dynamics, inverter-based resources, microgrid modeling, or nonlinear control Solid foundation in dynamical systems, optimization
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to post-process characterization. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization
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for acoustic metamaterials/metasurfaces; use simulation and data-driven optimization; contribute to listening tests and VR-based soundscape evaluation; build or test prototypes; publish results; and contribute
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
optimization. Participate in collaborative research projects and mentoring. Contribute to academic publications, reports and seminars The selected candidate will be part of the Foundations Cluster of CIDSAI and