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to the development of intelligent design workflows using CFD and data-driven methods to assess and optimise next-generation vessel designs. You will collaborate closely with project partners, applying state-of-the-art
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. Responsibilities will include: systematic reviewing and evidence synthesis, project management (coordination and reporting), maintaining high quality research procedures, qualitative and quantitative data collection
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Audition for Robots (ActivATOR)” under the direction of Dr Christine Evers. The position will be in the Vision, Learning and Control (VLC) Group, which is part of the School of Electronics and Computer
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should have required qualifications and experience Education: PhD in Biomedical Engineering, Electronic Engineering, Mechanical Engineering, Materials Science, or related disciplines with a strong academic
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microscopy, X-ray diffraction), high-temperature mechanical testing. You should have a strong motivation to conduct interdisciplinary research at the interface of materials science, data science, and
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delivery of our innovative NxtGen Researcher Programme and help establish the NxtGen Researcher Academy. This multi-disciplinary position focuses on engaging young people in health research, combining
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the new technology works and compares with existing drugs with the aim of improving cancer treatments. You will be motivated, educated to PhD level in a relevant subject area and ideally have practical
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: Genomics, precision medicine, bioengineering, and health data science AI and Digital: Machine learning, robotics, digital health, and cybersecurity Defence and Advanced Manufacturing: Secure systems