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candidate will carry out an analysis of how the European legal framework (including the AI Act, GDPR, worker rights frameworks) supports and/or restricts AI adoption in the uptake of AI in the process of
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partner Tata Steel UK. The project aims to advance fundamental knowledge on the impact of residual elements inherited from steel scrap on slag performance and utilisation in the scrap-based electric arc
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and confident really helps. Some experience or familiarity with CNC machines, surface engineering or automated manufacturing systems. An interest in machine learning or data analysis, especially
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processes. This has created a need to offer doctoral candidates a broad education and experience in both experimental molecular biology and data analysis, with possible specialisations in genomic and
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paid. We expect the stipend to increase each year. Only Home students are eligible for funding. The start date is October 2026. The project aims to develop and optimize metal oxide aerogel materials
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), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming
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ideally includes past or present projects centered on machine learning analysis of chemical or biochemical data, especially relating to structural biology. Ample experience with Python programming is
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and training activities that will contribute to developing professional networks. Understanding the growth of surface oxide films on/in multi-component metallic substrates in electrolyte media is of
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specimens. Qualifications & Requirements Pursuing PhD degree in mechanical engineering, familiarity with metal 3D printing. BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful
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, and a vibrant research environment in one of Europe’s leading business schools. International elements Language training provided Course-specific, integrated German language courses Yes Course-specific