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identify the optimal foaming process parameters and study the effects of additives such as starch, silica and calcium carbonate on thermal, mechanical and water-related properties. They will also be
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platform to identify and optimize therapeutic candidates. Our group specializes in developing technologies to assess the multicellular environment within three-dimensional microtumor models. The project
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research in radiochemical separations and advanced aqueous recycling of used nuclear fuel (UNF). The successful candidate will contribute to the development and optimization of advanced aqueous recycling
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 10 hours ago
reservoirs, (2) identify new opportunities for safely and effectively expanding underground natural gas storage operations in the U.S., and (3) optimize produced water disposal operations to maximize stored
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into value-added products Design, build, and optimize plasma reactors and related experimental systems. Conduct thermodynamic and kinetic analyses of plasma-driven chemical processes. Perform chemical and
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into value-added products Design, build, and optimize plasma reactors and related experimental systems. Conduct thermodynamic and kinetic analyses of plasma-driven chemical processes. Perform chemical and
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of the hamstrings during push-off can enhance gait after stroke. This position builds on those findings: you will adapt an existing FES shorts system for stroke rehabilitation, test and optimize it with patients
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device-relevant properties Design active learning, Bayesian optimization, uncertainty-aware modeling, and other adaptive experimental design workflows to guide experiments and improve data efficiency in
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system for stroke rehabilitation, test and optimize it with patients, retrain the stimulation-control algorithm for stroke-specific gait, and evaluate usability, comfort, and fit during prolonged use. You
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
these limitations. By leveraging RL during the post-training phase, foundation T2V models can be explicitly optimized to follow complex conditioning signals, enforce temporal consistency, and align with specific