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fairness and robustness for reliable clinical use. 3, Develop AI-assisted robotic guidance tools for precise and automated ultrasound acquisition. Interface AI algorithms with robotic systems to adaptively
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acquisition hardware, wireless communication modules, and user-interface software. • Support signal processing, data analysis, and integration of AI-based analytical tools for automated interpretation
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. Coordinate T cell production and characterization to facilitate a wide array of projects within CAMP, including identifying novel attributes for T cell efficacy, safety, and manufacturability. Interface with a
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of resistive switching mechanisms in meta/insulator/metal memristive materials Qualifications • PhD in Computational and Applied Physics • Proficiency using software for the simulation of atomic structure
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Interaction (HCI), with emphasis on user experience design, prototyping, accessibility, and usability evaluation. The Research Fellow will investigate how interactive technologies can be designed to respond
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robotic manipulation. This role will support our mission to advance AI-driven robotic systems for real-world applications, including human-robot interaction, robotic perception, and intelligent control
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(MIT, SMART) and Prof Saif A. Khan (NUS, SMART) and work with their team of researchers and collaborators. Requirements Candidates with an earned PhD degree in Chemical/Materials Engineering, ideally
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reporting to Prof. Patrick S. Doyle (MIT, SMART) and Prof Saif A. Khan (NUS, SMART) and work with their team of researchers and collaborators. Requirements -PhD degree in Chemical/Materials Engineering
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. The research targets a new generation of intelligent agents that learn through sequential interaction, and is organized around two pillars united by a shared reinforcement learning foundation. Embodied
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healthcare, IIoT, computational fintech, robot-human interaction, trustworthy AI, explainable AI, large language models, quantum computing. Where to apply Website https://www.timeshighereducation.com/unijobs