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of the β-decay rate of isotopes immersed in an ECR plasma. The experiment consists of a numerical modelling of plasma, including electron and ion dynamics, and the consequent estimation of the lifetime
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-throughput cell engineering and robotic automation (confocal microscopy, robotics) to support complex cell-model development. Work environment: frequent collaboration with DNA Biofoundry teams; biosafety level
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, and in collaboration with The CUNY Graduate Center, numerous Ph.D. degrees. CSI's internationally recognized faculty passionately engage in scholarly and artistic activities, and together with a strong
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trips, plus an elective course. Examples of elective courses could include aqueous geochemistry, geomorphology, soils, glaciology, GIS, or numerical modeling. We are seeking candidates who can demonstrate
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
code development or open-source contributions, polymer chemistry, and mathematics, modeling, or numerical methods. An established record of research productivity is highly desired. Special Physical
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tomography, with numerical simulations informed by microstructural data. The successful candidate will work at the interface between experiments, modelling, and data-driven methods. Particular emphasis will be
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datasets, modelling approaches, and performance metrics; develop physics-informed and data-efficient machine learning models to predict sorbent behaviour from sparse and multi-modal experimental data; and
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nonlinear, ultrafast, and integrated photonics. Develop predictive theoretical and computational models for optical materials and photonic devices. Perform numerical modelling and simulation of optical
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optimization of laser deposition coating processes using combined wire and powder feed, including numerical simulation of laser modelling, and process parameter optimization. Legislation and regulations: Law Nº
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transfer This research combines advanced numerical simulation and artificial intelligence to develop predictive models for high-temperature multiphase flows, with specific relevance to steel casting