618 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Nanyang Technological University
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including organoids and spheroids. For more details, please view the Liu lab website https://liulab.myportfolio.com/ & the programme website https://www.ntu.edu.sg/medicine/research/research-programmes
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clean-up and/or analysis, amongst others. The work is part of a very busy, fast-paced clinical environment, akin to polyclinics or hospitals. For further details, please visit our study website: https
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee Innovative Electronic & Electromagnetic Devices
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worthiness of autonomous vehicles cyber risk management, advanced threat intelligence secure-by-design for IoT and policy governance of cybersecurity For more details, please view https://www.ntu.edu.sg/cysren
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: Qualification: A bachelor’s degree in computer science, computer engineering, electronics engineering or equivalent. Strong background and experience in machine learning and computer vision. Prior experience in
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the National Cancer Centre of Singapore (NCCS) and Singapore General Hospital (SGH). Excited and motivated individuals are encouraged to apply. For more information, please visit: https://dr.ntu.edu.sg/cris/rp
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engineering schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are seeking to hire a Research Engineer to conduct interdisciplinary research on risk modeling, analysis
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education, spearheading groundbreaking research, and delivering unparalleled professional services. For more details, please view https://www.ntu.edu.sg/cee We are looking for a Research Associate in
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University, Singapore, invites qualified candidates to apply as Part-time Lecturer for AP6402 Art-Tech Collaboration. The Part-time Lecturer is expected to teach a Postgraduate course commencing in August 2026
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Science, Electronics Engineering or related fields. Strong knowledge in deep learning, pose estimation, 2D/3D detection and segmentation, SAM, foundation models, and 3D computer vision; strong software skills and