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Field
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. Demonstrated expertise in using machine learning and optimization frameworks in conjunction with FE simulations to assist with component and/or process design is preferred. Excellent written and oral
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 15 hours ago
of enhanced recovery techniques in unconventional reservoirs, (2) identify new opportunities for safely and effectively expanding underground natural gas storage operations in the U.S., and (3) optimize
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solvent extraction, membranes, and adsorption, for recycling and purification of selected elements from the cathode materials. System level performance optimization of metal recovery processes. Publish
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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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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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, and HHU. Your Job Develop machine-learning–based workflows and scientific software for segmentation, species classification, and lineage tracking in multi-species time-lapse microscopy data Optimize
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robotics – reinforcement learning, whole-body model predictive control (MPC), and differentiable optimal control – to simulate human balance and step recovery in urban transport scenarios. The goal is a
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systems architecting AI/ML-driven clinical and operational decision support Digital health and learning health systems Healthcare operations, resource allocation, and workflow optimization Network, graph
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, aerial robotics, robotic manipulation, optimal control, robot learning, or human-robot interaction. Experience with developing planning, control, or coordination algorithms for robotic systems, preferably
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, the generated data can be used to optimize mineral extraction processes from existing mines within a geometallurgical framework. The position will mostly focus on the development of measurement protocols and data