35 parallel-and-distributed-computing-phd positions at Singapore University of Technology & Design
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acceleration. We focus on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in event-based vision. What we’re looking for: A PhD/Master in Electrical and Computer
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on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in graph-based prediction. What we’re looking for: A PhD in Electrical and Computer Engineering or a
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standardization and faculty meetings Qualifications M.A. in applied linguistics, English language, communication studies, linguistics OR PhD in an academic field (e.g. humanities and social sciences) 1to 3 years
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, and translational grant proposals. Engage with industry and clinical partners to shape the roadmap for productization and deployment. Preferred Qualifications PhD in Electrical Engineering
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. The candidate will engage in research on ergonomic design and teaching at all levels, from first-year undergraduate to PhD level, in multiple design courses, either co-teaching, leading a team of colleagues, or
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Computer Engineering or a related field. A strong track record of publications in energy-efficient digital circuit design Hands-on chip tape-out experience is a strong plus Experience in compute-in-memory
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given - Perform microscopy and nanodevice analysis Program and design PLC systems Apply Computer Vision for machine hardware feedback and control Generate technical reports, white papers, and
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. Bachelor’s degree in Business Administration, Process Management, Information Systems, Computer Science or related field. Fresh graduates are welcome to apply. Automation and Streamlining: The associate will
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We are seeking a highly motivated and technically skilled Research Assistant specializing in Electrical and Electronics Engineering to support the development of a multi-camera system. The successful candidate will be responsible for designing and prototyping the hardware, firmware, and software...
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from architecture, engineering and computer science perspectives. Candidates should hold a PhD in cognitive epidemiology, population health sciences, gerontology, sociology (with a focus on health or