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and refine algorithms and models for large-scale language processing tasks, with a focus on healthcare data Contribute to developing new models, techniques and methods for clinical machine learning
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neutral-atom quantum simulator. The post holder will interact with international collaborators to develop new algorithmic approaches to minimising the effects of first and second order phase transitions in
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scientific rigour and unbiased, methodical evaluation of the MyFORM algorithm. The successful stakeholder will be required to: Engage within industry Support local ethical approvals, sponsor management and
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developing cutting-edge research on all aspects of computational imaging, from theory and algorithms, to applications in astronomy and medicine. Dr Wiaux is a Professor in the School of Engineering and
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algorithm development; · THz transceivers for high-frequency communication channel measurement and sensing; · Real-Time Digital Simulator (RTDS) and Solar & Wind Emulator for real-time
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electrical power distribution system. Prior knowledge on power system condition monitoring would be an advantage. Experience in project work would an advantage. Share this job Facebook Twitter LinkedIn Apply
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communications and sensing. Skills Essential: C1 Excellent programming, algorithm development and scripting skills C2 Research creativity and strong cross-discipline collaborative ability as appropriate C3
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algorithms, and decision-support tool development. Responsibilities will include programming, analysing and interpreting data, and contributing to innovative solutions that support maritime decarbonisation
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development of mathematical models and algorithms for the analysis of biopharmaceutical manufacturing processes with a focus on assuring safety and alignment of machine learning models with the expected
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. A typical candidate will have at least two years of experience in the following areas: advanced AI algorithms (e.g., generative AI, diffusion models), human touch sensing and tactile sensor