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leverage the power of field-programmable gate arrays (FPGA) to deploy machine learning models on the edge with low latency and high energy efficiency. This added intelligence will enable the rapid evaluation
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FPGA or ASIC implementation Secure, trusted, reliable, and/or resilient computing systems A successful candidate is expected to: Develop and sustain an independent, externally funded research program
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projects both within the Department and across the university. Your research interests could include embedded systems and FPGA programming, with applications in biomedical, image processing signal
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venues Experience in collaborating with companies and/or inter-disciplinary research Real-world expertise with hardware design, e.g., related to embedded systems engineering, chip design,or FPGA-based
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cases of next generation wireless communications systems. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom We're looking for people driven by excellence, excited about
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environment. The successful candidate will be joining the Optoelectronics group led by Prof. Dr. Valerio Pruneri to focus on FPGA development to implement practical protocols oriented toward the space segment
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(especially neuromorphic) device, circuit and system design, clean-room fabrication, ferroelectric (or antiferroelectric) materials and devices, memristors, tactile sensors, FPGA/MCU/API development, machine
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detectors, ultra-high vacuum, tritium gas handling, magnetometry, cryogenic engineering, charged-particle trapping, atom trapping and cooling, RF/microwave cavities and radiation detection, FPGAs, Python, C
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the wider subject area or subject specialism of superconducting or semiconducting quantum circuits, cryogenic electronics (e.g. quantum logics and memories, etc), CMOS or FPGA technology, micro
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Transformation program that seeks to increase equity in STEM fields through collaboration (https://www.umass.edu/advance/ ). For more information on work-life balance at UMass Amherst, see https://www.umass.edu