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are applicable to some visas. Person Specification Essential Criteria: Qualifications A good first degree in area of specialism (e.g., cyber security, computer science, or electrical engineering) A PhD (or be
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Success. It focuses on building strong relationships with course teams, employers, and students, and providing tailored guidance that empowers students to explore, secure, and succeed in a wide range of
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Advert Communications Officer An exciting opportunity has arisen to join the Centre for Social Care and Artificial intelligence Learning (SCALE) and School of Computer Science and Informatics. SCALE
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are engaging, research-informed, and aligned with professional standards. Key Responsibilities Provide academic leadership and role modelling within and across programme areas. Lead and advance research and
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Application deadline: All year round Research theme: Applied Mathematics, Computational Metallurgy UK only This 3.5-year PhD project is fully funded and home students are eligible to apply
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skills, enabling you to work productively with academic and industrial teams. Proficiency in relevant computational tools (e.g. MATLAB, Python, LabVIEW, or equivalent). Experience with non-contact sensing
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the Integrated Work Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry. In addition to their role in
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, and the IO Technical team to ensure that data is managed ethically, securely, and in compliance with institutional, legal, and funder requirements. This role is central to promoting data quality
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essential. You will be expected to produce high‑quality research outputs appropriate to your career stage and demonstrate potential to secure external research funding. The role involves interdisciplinary
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap