45 parallel-processing "Computer Vision Center" Postdoctoral research jobs in Singapore
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, Computer Science, Electrical Engineering, or a related discipline. 2. Solid background in medical ultrasound imaging, signal processing, or machine learning. 3. Proficiency in programming languages and
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Post-doctoral Fellow (PDF) in the Department of Electrical and Computer Engineering Employer THE UNIVERSITY OF HONG KONG Location Pok Fu Lam, Hong Kong Salary Competitive salary Closing date 31 Jan
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medical imaging, artificial intelligence, computer vision, or related fields (AI); electrical/mechanical hardware systems (hardware). Demonstrated experience developing deep learning models and
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Prior publications in major computer vision (CVPR/ICCV/ECCV) or machine learning (NeurIPS, ICML/ICLR) conferences is a plus More Information Location: Kent Ridge Campus Organization: School of
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) of the Singapore-MIT Alliance for Research and Technology (SMART). See our recent publication in Nature Plants (2020) for a detailed vision of the research programme. Responsibilities Operate Raman
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include ultrasonic transmission, reflection and attenuation, and bioadhesive performance on skin. 3. Lead the development of wearable ultrasound devices signal processing for long-term cardiovascular
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Requirements A Ph.D. degree in Neuroimaging, Biomedical Engineering, Electrical Engineering, Physics, Computer Science, or other related disciplines, with experience or keen interest in processing
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supports data processing and modeling. Qualifications • Education: Master's degree or PhD (or equivalent relevant experience) in Computer Science, Engineering, Physics, Geophysics, Applied Mathematics
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2027 View more categories View less categories Academic Discipline Biological Sciences , Computer Science , Engineering & Technology , Mathematics & Statistics , Physical Sciences , Life sciences Job
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other duties as assigned. Requirements 1. Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field, with expertise in computer vision or medical image analysis. 2