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highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences across semiconductor manufacturing tools, with the objectives of reducing cycle times
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. The successful candidate will work on the development and integration of battery energy storage systems, develop control methodologies for the optimal operation of battery energy storage systems for critical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
the group of Dr. Eric Muir at the University of North Carolina at Chapel Hill in the Department of Radiology and the Biomedical Research Imaging Center. The successful candidate will develop and optimize
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expertise in plant sciences, optical technologies, and data processing. The existing imaging Mueller polarimeter, which is sensitive to the microstructural properties of biological tissues, will serve as the
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theory. The researcher will work in the G-SCOP laboratory, in the "Combinatorial Optimization" team, on geometric aspects of graph theory, in particular the links between structure and metric, and the
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-based concretes and insulation, offer interesting thermal, acoustic, and environmental properties. The OPTIMALin project focuses on the evaluation and optimization of thermal and mechanical performance
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
for polymer-based materials. This project aims to leverage computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials. Key duties The successful
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Responsibilities Conduct cutting-edge research on the conversion processes of various types of biomass (e.g., seaweeds) into valuable bio-based products. Investigate and optimize technologies for biomass
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 21 days ago
the PEPR Future Networks , and its PERSEUS project. PERSEUS focuses on the technologies, processing and optimization of next-generation cellular cell-free networks. This includes the development of robust
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mapping their spin textures at the atomic scale using quantum magnetometry techniques. The work will also involve processing, analyzing, and interpreting STM/S data, contributing to instrumental development