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Field
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. Job Requirements: Preferably PhD in Computer Science or related field. Background and familiarity with the implementation and deployment of machine learning pipelines in embedded systems (e.g., robotic
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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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, and environmental monitoring. Contribute to white papers and strategic roadmaps to guide long-term development of intelligent aquaculture monitoring systems. Job Requirements: PhD in Computer Science
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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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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 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
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HW/SW Co-Design, FPGA development and hardware prototyping Strong understanding of digital design principles and embedded systems Experience with EDA tools, chip design flows and IC system modeling
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, identify targetable vulnerabilities, and contribute to next-generation precision medicine approaches. With joint supervision from leading professors and embedded in interdisciplinary world-class facilities