422 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs in Singapore
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validating an immune panel using PBMCs to demonstrate multicolor flow cytometry workflows, enabling new users to learn panel design, data acquisition, and data interpretation. Qualifications • Bachelor’s
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research program to develop next-generation sensor devices and systems for human-machine interactions. Qualifications PhD in Materials Sciences, Robotics, Mechanical Engineering, or related disciplines. More
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for teaching; however, if the candidate wishes to teach, it may be possible. Qualifications PHD in Computer Science/Quantum Information with a strong record of publications. More Information Location: Kent Ridge
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Computer Science, on topics related to Artificial Intelligence and Machine Learning, Human-Robot Interaction and 3D Vision/Multimedia. Experience with deep neural models and algorithms for 3D spatial reasoning and
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Master’s degree in psychology, cognitive science, human-computer interaction, communication science, or a related field. Background in some empirical research methods (quantitative, qualitative, or mixed
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engagement with CRCD research. Plan and coordinate research dissemination events (e.g., pre-conference sessions, symposia, and learning exchanges), including preparation of presentation materials, to share
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) quantum cryptography. Areas of particular interest are Microcrypt and device independent quantum cryptography. There is no requirement for teaching; however if the candidate wishes to teach, it may be
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cryptography. Areas of particular interest are Microcrypt and device independent quantum cryptography. There is no requirement for teaching; however if the candidate wishes to teach, it may be possible
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The project is to be carried out in collaboration with Schaeffler to study “collision monitoring and control system of cobot based on fiber optic sensing and deep learning”. Research Assistant
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, such as, geometric/topological/algebraic data analysis, geometric/topological deep learning, Math for AI, categorical deep learning, sheaf neural networks, PINN/KAN models, neural operators, etc, and