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Robotics, Controls, AI, Computer Vision, and Hardware Security The Control/Robotics Research Laboratory at NYU invites qualified applicants with a doctorate degree in the areas of electrical, or computer, or
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, machine learning, and control in the energy sector. The postdoc researcher will perform theoretical study and algorithm development on optimization/control/data analytics methods and authorize peer-reviewed
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results of experiments or projects under control or supervisory responsibility. 2. Recommends changes in research, testing or experimental procedures. 3. May be responsible for a single highly technical and
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satisfactory performance and funding availability. Applicants should possess a Ph.D. degree, preferably in Social Sciences or a related discipline. They should have an excellent command of written and spoken
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satisfactory performance.) Applicants should possess a Ph.D. degree in Life Science, Public Health, Statistics, Computer Science, or related disciplines. They should have an excellent command of written and
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under control or supervisory responsibility. 2. Recommends changes in research, testing or experimental procedures. 3. May be responsible for a single highly technical and complex piece of research
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battery materials synthesis and device fabrication, advanced characterisation and materials modelling. We will work to develop new Li-rich 3D cathodes by controlling local ordering in disordered rocksalt
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at conferences. JOB SUMMARY The St. Thomas Center for Microgrid Research (CMR) is seeking candidates for postdoctoral scholar positions in the electric power systems controls, nonlinear dynamics, microgrids, and
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to: designing, implementing, and optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis; developing unity‐based visualization and user-interaction interfaces
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Machine Learning models for quality prediction and control of phosphate ore. Simulating and evaluating various extraction scenarios, considering industrial constraints. Collaborating closely with field and