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The Emerging nanoscience Research Institute (EnRI) focuses its research on advanced materials, computational modelling & simulation and development of small-scale testing and materials
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to the development of high-performance, multimodal sensor systems with strong application potential in digital healthcare, robotics, and smart environments. The successful candidate will be an integral part of a
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cutting-edge research in computational X-ray photonics. The research fellow will assist in the development of novel theoretical numerical framework pertaining the generation of compact, high quality X-rays
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Supervised Machine Learning and Reinforcement Learning. The objective is to significantly enhance battery performance and longevity. While conventional methods rely on either physics-based models or high-level
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in the UK. We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic
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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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information about AbbVie, please visit us atwww.abbvie.com . Follow @abbvie onX ,Facebook ,Instagram ,YouTube ,LinkedIn andTik Tok . Job Description Program Overview AbbVie needs outstanding individuals willing
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for high dimensional data PhD degree or higher in computer science, biomedical informatics, statistics, computational biology, or a related field; Strong programming skills in one of the traditional
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guidance for computational modeling of the data Publish research in peer-reviewed journals and present work at scientific conferences aligned with business objectives Demonstrate a high degree of
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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