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: Learning and implementation of project and commercial management tools and techniques. The successful AI engineer will have the following skills, experience and attributes: PhD or equivalent professional
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About MINDS Centre for Doctoral Training The Machine Intelligence for Nano-Electronic Devices and Systems (MINDS), is a very successful £5M Centre for Doctoral Training (CDT) funding around 50 PhD
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prioritise work to meet deadlines and quality standards. Specific knowledge of additive manufacturing, mechanical characterisation, full-field experimental mechanics, volumetric imaging (e.g. X-ray computed
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different sources Share data, software and models including experimental and simulation data Deploy close-to-data computation and containerisation of data and software Use AI to explore data Make the results
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The School of Engineering is seeking to appoint a Specialist Technician for its Cryogenics facilities, within the Department of Mechanical Engineering. These specialist facilities support the
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trials, with strengths in cancer immunology, tumour microenvironment, lymphoid biology, surgery, and clinical informatics. Our success led to the establishment of the Centre for Cancer Immunology (CCI) in
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, and be expected to develop a programme of research with support from clinical and laboratory-based colleagues. They will contribute to academic leadership within the Faculty and Trust and enhance
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capacity building programme that will help to ensure that the UK remains at the forefront of digital skills and AI. Work spans across three project themes: 1. Large language models for (survey) research and
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, vibration, environmental, maritime, civil engineering, mechanical engineering and materials. To be successful in this role, you will: Have substantial technical experience in a relevant scientific
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, Engineering and Computer Science. The Institute for Life Sciences supports further cross-disciplinary collaboration. Our strategic partnerships with schools, NHS Trusts, Government, charities and industry