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/OFAC access.* Educational Background: Bachelor’s, Master’s degree, or PhD in Electrical Engineering, Electronics, or a related field Technical Expertise: Minimum 3 years of experience in analog circuit
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physical laws, or an implicit form of extra data examples collected from physical simulations or their ML surrogates. In medical domains, patient data is typically distributed across multiple hospitals
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with a PhD in computer science, engineering, robotics, or a related field, evidenced by a strong publication record. Candidates should possess experience in robotics, drones, UAVs, multi-robot systems
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD has established the Collaborative
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This PhD project will develop next-generation grid-scale energy storage solutions integrated into HVDC (High Voltage Direct Current) systems at the University of Edinburgh, in partnership with UK
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science, and expertise in the use of technology and active learning instruction. Behaviorist Role- A license/degree (PHD, LCSW, LMFT, LPCC) in the science of human behavior, and expertise in the use
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of Sheffield. The role is part of a programme of research that is fully funded by the Aerospace Technology Institute (ATI) in a large collaborative programme with several Industry partners, including Airbus
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Dynamics and Control CHE 453 Corrosion Engineering CHE 454 Design of Industrial Waste Treatment Systems Qualifications (Skills and Abilities): MSc or PhD student in good standing
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. The project is co-sponsored by Spirent Communications, a world leader in navigation and testing technology. Spirent will provide advanced simulation tools, expert support, and industry placements to help make
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PhD Scholarship Opportunities in Optoelectronic Semiconductors at the Faculty of Engineering and Faculty of Science (Multiple Positions) Job No.: 682543 Location: Clayton campus Employment Type