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Field
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Remote robotic welding guided by reliable, non-contact, emissivity-independent temperature imaging and machine vision The Fusion Engineering Centre for Doctoral Training (CDT) PhD Research Project
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, advanced imaging, and innovations in materials science. The department is involved in the delivery of undergraduate physics and mathematics modules at all levels, as well as the PhD programme. Research
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software modules, protocols, or frameworks that use NIST-standardized PQC algorithms Evaluate performance, interoperability, and security implications of replacing classical cryptographic schemes with
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software modules, protocols, or frameworks that use NIST-standardized PQC algorithms Evaluate performance, interoperability, and security implications of replacing classical cryptographic schemes with
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Overview This PhD project will take a comprehensive approach to exploring how corporate sustainability disclosure practices evolve in response to the integration of Machine Learning (ML) within
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collaboration with other researchers. Your profile • Formal requirement: Doctoral degree (PhD) in quantitative genetics, tree breeding, biometrics, statistical genetics, bioinformatics or related field
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pipelines. Assists in analysis pipeline and algorithms development and validation. Extracts feature of interest from data relating to specific biological questions. Contributes to the development and
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This PhD project is part of a larger project that aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain
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scientists at the Algorithmic Transparency Institute (a project of the National Conference on Citizenship) and other academic and non-profit organizations on data collection, analysis, academic reporting
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uses machine learning to improve online accelerator models and that develops correction algorithms for accelerator operations. This position is for a 2-year research project. This position has a high