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early design, integrating rapid analysis tools, multi-criteria performance estimation, and surrogate modeling. Human–AI collaboration in design, including agent-based platforms, co-creation workflows, and
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areas of nanoscience and nanotechnology. Job title: PhD Student in Computational Materials Science Research area or group: Theory and Simulation Group Description of Group/Project: The Theory and
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. demonstrated research capability in one or more of the following areas: quantitative modelling of dynamic or adaptive systems reinforcement learning, multi-agent systems, network or graph-based models simulation
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-ray films. Removes deposits, growths, and stains from the exposed surfaces of the teeth and applies topical agents for dental treatment. Removes cement, places or removes rubber dam, removes sutures
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or adaptive systems reinforcement learning, multi-agent systems, network or graph-based models simulation of complex socio-technical or organisational systems causal inference, econometric analysis, or formal
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the following is desired: - Agentic and sequential decision-making for autonomous experimentation, including active learning and optimal experimental design - Generative and probabilistic modeling
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discovery, or scientific knowledge extraction. Experience building or studying autonomous or semi-autonomous coding agents. Experience designing or implementing automated experimentation or simulation-based
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copy of the undergraduate and graduate transcript (unofficial is fine) teaching history (list course and department) any available teaching evaluations Verify your own course schedule against
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atmosphere based on mutual trust. It implements the strategy resulting from The Human Resources Strategy for Researchers, creating stable conditions for employment as well as the development of academic career
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no benefits, based on the grant or project funding. South Carolina Retirement Yes State Insurance Programs Yes Annual Leave Yes Sick Leave Yes Position Description Advertised Job Summary Certification