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Engineer (CEng) status, ensuring you’re recognised for your professional expertise. Entry Requirements: A first-class or strong 2:1 degree in a relevant science or engineering subject such as Computer
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Overview Are you eager to support a nuclear materials research programme of national significance? We have a very exciting opportunity in the School of Chemical, Materials and Biological Engineering
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skills (Python preferred) and solid understanding of machine learning and deep learning, including computer vision techniques. Ability to read, write, and communicate scientific texts clearly; strong
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, Aerospace Engineering, Materials Science, Physics, Computer Science or Mathematics. If English isn’t your first language, you’ll need an overall IELTS score of 6.5 with at least 6.0 in each section Interested
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for experimental work, conference travel, or the latest computing gear, we’ll make sure you have the resources to succeed. Work with the Best: Team up with industry giants to work on real-world projects that make a
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ability to perform cutting-edge science, as evidenced through publications in high quality journals or on pre-print servers is also essential. Main duties and responsibilities Conduct research
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available to home students. You should have, or be expected to achieve, a first or upper second class UK honours degree (or equivalent) in Mechanical Engineering, Materials Science or related discipline. View
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the Research Programme Manager, academic and University-wide administrative colleagues as part of a team. You will be responsible for providing a high-quality administrative support service to all aspects
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and led by Prof Graham Leggett. The aim of our five-year programme is to develop a new modular approach to the creation of photonic materials, inspired by structures found in biological photosynthetic
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materials for radioactive waste disposal. It is ideally suited to someone looking to use their skills in chemical engineering, material science, or any other relevant discipline to make an impact on