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qualification and/or minimum NVQ Level 3 in Mechanical engineering or equivalent discipline and have successfully completed a Mechanical apprenticeship or similar training programme. You will be familiar with
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through a relevant PhD, but may also have been achieved via other research experience, normally supported by a relevant postgraduate degree (e.g. MSc in Health Psychology, digital health or computer science
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must have a PhD in Bioinformatics, Computational Biology, or a closely related field (or be nearing completion of their qualification). You will have demonstrable experience in programming with R and a
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qualifications and experience in Computer Science, Financial Technology, Data Science, Artificial Intelligence, or a similar field. Experience with AI model development and deployment using Python and other
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programme. Ideally with a background in science, engineering, or technology, you have experience managing complex projects and a strong desire to see research translate into practical, impactful solutions
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Are you an experienced educator looking to support an exciting programme working with children to inspire them to live healthier lives? Do you have a background in Education? We are looking for a
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Are you highly organised, a great communicator, and passionate about helping people get the best from their technology? We’re looking for a proactive Upgrade Coordinator to play a key role in
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of composite materials and structures. The research will be conducted within the Computational Engineering & Design Group of the Department, on a fixed term - full time contract for a duration of 20 months
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(pro rata) plus University Closure Days, a contributory pension scheme and a structured training program are also some of the benefits of this role. This position is being offered on a part-time (19.5
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provide the following support: Learning Support Assistive Technology Our offer to support student apply and access DSA Support for students who are not eligible for Disabled Student Allowance (DSA) You will