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The School of Computer Science and Electronic Engineering is seeking to recruit a Professor in Machine Learning and AI with a focus on Large Machine Learning Models to expand our dynamic team
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experience in astronomical data analysis activities, coupled with use of machine learning approaches to data validation, a good practical knowledge of scientific algorithm development and a PhD degree in a
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omics data, digital pathology, using cutting-edge AI and machine learning approaches. You will play a critical role in developing sophisticated computational pipelines, integrating complex multi-omics
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tissues • The development of computational methods ranging from image processing to machine learning to analyse, segment, model, and quantify large-scale time lapse datasets Main duties
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here to view : Academic Operations Officer JD 2025 Are you completing, or have recently completed a PhD and keen to remain immersed in the academic world while contributing to dynamic research
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experiments, algal bioprocess modelling and optimisation, machine learning and data-driven modelling, and business case development, ensuring the technology is optimised for deployment across diverse industrial
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scales, lubrication and wetting, biophysics as well as machine learning or metamaterials. For experimentalists, we particularly interested in applicants aligned with our existing research infrastructure
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continuous programme improvement. Participate in educational initiatives and activities to enhance student learning outcomes. Requirements: A PhD or a Master’s degree (with significant industry experience) in
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of computational optimisation, machine learning, and experimental design of new chemistry. You will develop Bayesian optimisation and other active learning approaches for experimental design with a focus on real
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of AI and machine learning to networking, robotics and cyber security and the technologies needed to support AI and intelligent infrastructures. Biomedical Engineering, including bioelectronic devices and