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highly motivated and technically proficient Research Fellow in Control and Embedded Systems Engineering to support the development and deployment of intelligent, safety-enhanced BMS technologies within a
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highly motivated and technically proficient Research Fellow in Control and Embedded Systems Engineering to support the development and deployment of intelligent, safety-enhanced BMS technologies within a
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and thermal-aware design techniques for embedded systems. Contribute to research outputs and support timely completion of project milestones. Job Requirements: Preferably PhD in Computer Engineering
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decision making, while you will be capable to apply machine learning and computational algorithms of social choice. This post is associated with following projects: Embedding EDI in the Distribution
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the development and translation of rehabilitation technologies is strongly preferred. Prior experience with embedded systems or biomechanical evaluation in wearable devices is desired. Special Instructions Contact
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annum dependent on qualifications and experience, in line with current pay protection and transitional arrangements in the NHS. This is a full time, fixed term position for 12 months. The Oxford
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Within CCDS, this project will be conducted in the Hardware and Embedded Systems Laboratory (HESL). This lab aims
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embedded AI systems. They will demonstrate a strong track record of high-quality research in machine learning/AI and/or embedded systems, evidenced by publications in leading conferences and journals
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Engineering, Robotics, or related fields. Strong experience in UAV hardware design, embedded systems, and real-world flight testing. Proficient in multi-agent system integration and middleware (e.g., ROS 2, PX4
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The London School of Hygiene & Tropical Medicine (LSHTM) is one of the world’s leading public health universities. Our mission is to improve health and health equity in the UK and worldwide; working