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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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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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(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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, registration, and anomaly detection. 6. Experience in software system engineering and architecture design for AI-based medical applications. Ability to develop immersive, user-friendly interfaces tailored
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, Experience in ultrasonic medical imaging and acoustic wave propagation modelling in biological tissues and the human body. Familiarity with ultrasound simulation tools such as k-Wave or equivalent software is