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Field
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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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experience Proven experience with sensor integration, data acquisition systems, and embedded hardware prototyping, preferably in aquatic or environmental monitoring contexts. Strong understanding of real-time
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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
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Postdoctoral Fellow. This position is available to individuals with research interests in neuromorphic computing, IC design, embedded systems, or AI. Successful candidates will hold a terminal degree in
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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
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Queen’s Communities and Place (QCAP) is an AHSS Faculty flagship research initiative based in the School of Social Sciences, Education and Social Work. It launched in November 2021, and supports
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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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Responsibilities: Conduct cutting-edge research to hetero-design / chiplet-based systems, with a focus on security of components and interconnects across chiplets. Focus on new IC design concepts for embedded ARM
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cutting-edge research to hetero-design / chiplet-based systems, with a focus on security of components and interconnects across chiplets. Focus on new IC design concepts for embedded ARM and RISC-V