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mathematics with applications of combinatorial optimization to industrial practice (in the areas of chip design and tour planning). lt is committed to equal opportunity and the support of early-career
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candidates whose research leverages Artificial Intelligence (AI) and Machine Learning (ML) to advance process systems design, process safety and risk analysis, optimization, characterization, and
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algorithmic methods; scientific artificial intelligence and machine learning; multiscale modeling and simulation; large-scale optimization; and hybrid, physics, and/or data-driven approaches for the
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, characterization, and optimization of innovative materials, structures, and devices. The activities will include advanced electromagnetic modeling, the development of numerical simulation procedures
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agentic artificial intelligence (AI) methods that propose, prioritize, and interpret experiments, accelerating the discovery and optimization of catalytic materials for energy and sustainability
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thermodynamic and kinetic models into an alloy design framework (including material properties models) that uses numerical optimization methods to rapidly screen for promising compositions over vast multi
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) incorporating symmetries and constraints into neural network models. Of particular interest are candidates who have a background and/or interest in one or more of the following: optimization and optimal control
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Laboratory Method Development, Optimization, Validation: Conduct development, optimization, and validation of laboratory research protocols, including targeted literature searches, performing
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Optimization of the calibration pipeline for the SIMBIO-SYS instrument suite aboard the
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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | about 15 hours ago
, and service in statistics, operations research, probability, optimization, stochastic modeling, data science, analytics, and decision-making under uncertainty. The department is nationally recognized