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therapy products; and (ii) integrated process analytics to monitor and modulate those attributes. This interdisciplinary team comprises engineers, biologists, clinicians, manufacturing, and data analytics
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. in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field, with expertise in computer vision or medical image analysis. 2. Demonstrated research experience in 2D/3D
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Project Overview The Wearable Imaging for Transforming Elderly Care (WITEC) interdisciplinary research group (IRG) is committed to creating next-generation wearable imaging technologies tailored
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• Design, prototype, and test microfluidic devices, electrochemical sensors, and portable diagnostic systems. • Support fabrication processes including micro/nanofabrication, surface
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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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Project Overview The Wearable Imaging for Transforming Elderly Care (WITEC) interdisciplinary research group (IRG) is committed to creating next-generation wearable imaging technologies tailored
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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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researchers in M3S to design and prototype AI models (e.g., LLMs, multimodal systems) that support learning, assessment, deep knowledge tracing, and teaching practice. Empirical Education Research – Conduct
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therapy products; and (ii) integrated process analytics to monitor and modulate those attributes. Our efforts are focused on allogeneic and autologous cell therapy products, including but not limited