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international collaborations with clinicians, regulators, policymakers, and industry partners. You must have a strong background in machine learning, computer vision, and medical image analysis, with publications
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Materials Innovation Factory (MIF) sites. Due to funding restrictions, this studentship is only available to those eligible for UK fees. How to Apply: Apply online via the above ‘Apply’ button. Under
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co-working with partner universities (e.g. UCL, UWE, Imperial) and industry partners. This project is suited to individuals who are willing to work across teams and work at the forefront of research
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This vacancy has been extended until 08/07/2025 About the Role We are seeking an enthusiastic and ambitious senior biostatistical researcher to join our interdisciplinary team designing, developing
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qualitative data acquired through focus groups and interviews with regulators, manufacturers and engineers, and deriving analytic insights into material perceptions and values. In addition, they will oversee
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, industry, including the (re-)insurance sector, and the public to better prepare for seasons of high activity. The project will investigate the skill of forecasting seasonal accumulated North Atlantic cyclone
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and Research Initiative (UKIERI), the British Council, the Royal Academy of Engineering, and industrial research funding. He has been working on manufacturing advanced composites for hypervelocity
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University, offering a unique opportunity to work at the interface of academia and industry. In partnership with Xstrahl, a leader in preclinical radiotherapy, this project will use the Small Animal Radiation
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. All training and placement (overseas/industry) costs will also be covered, subject to supervisor approval.
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acquisition of a range of environmental and operational data in the digitisation of food manufacturing processes for processing using applied AI techniques. We anticipate the successful applicant will develop