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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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: Investigating novel optical materials and technologies Developing and optimizing optical system designs using simulation tools Characterizing and testing optical system performance Collaborate with cross
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (HSSR/TJ) Posting Start Date: 08/07/2025 Job Description: Job Description The Signature Research Programme in Health Services
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technologies. Key Responsibilities: Design and manufacture bio-inspired soft gripper system with optimal structure. Design and develop tactile sensing mechanism on the developed robotic systems. Create embodied
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the flexibility of DCS will be investigated. Multi-objective optimization, focusing on techno-economic optimization under varying levels of renewable energy penetration will be employed. To assess the impact of
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of mechanics, acoustics, design optimization, and advanced manufacturing. The key responsibilities of this position include: Perform numerical simulation to solve structure-acoustic problems Perform design
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system performance in physiologically relevant settings. Explore and implement AI/ML tools for system optimization, data-driven control, or high-throughput analysis. Contribute to publications, IP filings
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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application like drug delivery. Key Responsibilities: The Research Fellow will work on a cross-disciplinary project at the intersection of mechanics, acoustics, design optimization, and advanced manufacturing
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decision-making and research findings. Qualifications & Competencies: Minimally a PhD degree in Artificial Intelligence, Computer Science, Optimization, or a related field. Strong foundation in multi-agent