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and troubleshoot the challenging problems. • Design and develop an intelligent and optimal switching strategies, and control techniques, for the energy efficient and reliable operation. • Dynamic
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metabolomics core and research facility in Singapore, actively contributing to numerous projects aimed at uncovering disease mechanisms through advanced metabolomics profiling. We are seeking a Research Fellow
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to implement and optimize AI/ML models for biomedical datasets. Preferred Knowledge, Skills and Abilities Mathematical Modeling: Strong foundation in numerical modeling, graph theory, and statistics. Algorithm
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processes. As theoretical understanding of such nonclassical states has advanced over the past few years, numerous experiments will be required to verify and further optimize them for potential applications
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Job no:520746 Work type:Full Time Location:Crawley Categories:Engineering and Mathematical Sciences, Social Sciences Lead numerical modelling of carbonate sand for offshore foundations, support
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performance, safety, and scalability. The project may involve both experimental investigations and numerical simulations, depending on the candidate’s background and the evolving needs of the research
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Physics Working knowledge of general relativity and at least one of the following: black hole physics, alternative theories of gravity, numerical relativity, lower-dimensional quantum gravity A strong
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Lead numerical modelling of carbonate sand for offshore foundations, support research outcomes, and contribute to publications and student supervision. Full-time appointment on a fixed term basis
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interest in connecting theory with experiments, demonstrated skills in analytical and numerical computation, and a broad expertise in fields such as atomic physics, quantum optics, quantum optimal control
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to design, optimize, and scale-up of electrolyzer systems to use for recycling spent battery materials. Key Responsibilities Design & Development • Lead the design and scaleup our electrolyser systems