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of Birmingham is inviting applications for a Research Fellow position focused on Machine Learning for Automated Formal Verification. Machine learning has transformed programming, with code generation rapidly
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parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line
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the Safety and Surveillance Group and the wider Agency. The successful candidate will have: A PhD in Computer Science, Statistics, Machine Learning, Data Science or a similar quantitative discipline or
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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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decision making, while you will be capable to apply machine learning and computational algorithms of social choice. This post is associated with following projects: Embedding EDI in the Distribution
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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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to compensate for such aberrations, significantly enhancing image quality. Adaptive requires knowledge of the wavefront to be corrected. Our team has been developing a machine-learning approach to wavefront
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models, making the use of data-driven approaches a promising direction. This PhD project will investigate the use of data-driven and machine learning approaches, both measurement based but also model based
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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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reactions. We welcome applicants from diverse backgrounds, including computational chemistry, bioinformatics, systems biology, and machine learning. The project offers a unique opportunity to collaborate