14 Humanities Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) in United Kingdom
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to conduct applied research in the topic of Human-in-the-Loop AI perception system that leverages user concerns and identified driving scenarios to generate new and relevant driving scenes for enhancing
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speed, compute efficiency, and scalability with concurrent agents. Enable real-time adaptive learning via human-in-the-loop feedback and reinforcement learning mechanisms in collaboration with other work
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into clear, human-centred narratives that spark curiosity, accelerate understanding, and inspire action. Key Responsibilities Lead end-to-end design processes, from user research and ideation to wireframing
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quality images of the human body, facilitating the diagnosis and treatment of patients (Allied Health Professions Act 2011). Dietetics: Dietetics involves the management of medical conditions and promotion
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seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer Interaction (HCI) and social science methodologies to lead the user research and policy development, as part of
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Knowledge of human factors and ergonomics principles is an advantage Experience working in interdisciplinary teams; exposure to healthcare or service-related projects is preferred Self-motivated, able to work
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Python. Hands-on experience with: PyTorch Hugging Face Transformers OpenCV Experience working with deep learning models for image or video analysis.
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functional brain imaging and 3D human kinematics. This funded research brings together multidisciplinary expertise from Singapore Institute of Technology (SIT), National University of Singapore (NUS), National
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research project focused on evaluating and developing humanoid robot capabilities for door opening and doorway traversal in human-centric environments. The Research Engineer will contribute to humanoid robot
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assessment, malware analysis, privacy technologies, and AI security. AI and Emerging Fields: Smart healthcare, IIoT, computational fintech, robot-human interaction, trustworthy AI, explainable AI, large