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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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drug particles, made using multiphase microfluidic methods. This work will be conducted in close collaboration with a pharmaceutical company sponsor. He/she will be reporting to Prof. Patrick S. Doyle
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crystalline or amorphous drug particles, made using microfluidic methods. This work will be conducted in close collaboration with a consortium of pharmaceutical companies (GSK, Merck and Pfizer). He/she will be
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processing. 3, Demonstrated expertise in the modelling, design, and optimization of acoustic transducers and metamaterials, with a solid understanding of acoustic wave physics and numerical simulation methods
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medical imaging using deep learning methods. Proved by strong track record of publications in top-tier AI and medical imaging conferences/journals. 3. Solid mathematical background, excellent programming
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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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on improving the potency, safety, and scalability of manufacturing cell therapies. In particular, this position is focused upon next-generation methods to manufacture CAR-T cells for cancer treatment. This PDA
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Engineering, Electrical Engineering, or a related field. Experience in robotic perception, control, or learning-based methods. Proficiency in Python and C++ for AI and robotics applications. Familiarity with
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. Archan Misra from Singapore Management University. Responsibilities Conduct and coordinate research on new RL algorithms, world models, and human-in-the-loop learning methods, applied to both embodied
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of computational pipelines and statistical methods for data preprocessing, analysis, visualisation, and model interpretation, leveraging baseline and longitudinal datasets from Singapore and Southeast Asian cohorts