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supports the semi-automated checking of research outputs, including machine learning and Artificial Intelligence models. Working closely with the Research and Innovation Platforms Team, you will oversee
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will lead on key Departmental activities and also contribute to a shared model of line management enabling effective support, development and mentorship for the academic team. The strategic plans
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models and low or hi-fidelity manikins. Provision of resources, and maintenance of technical and consumable equipment, are fundamental to the delivery of this teaching. The successful candidate will
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contribute to ongoing cancer risk modelling projects within the Centre for Cancer Genetic Epidemiology (CCGE), based in the Department of Public Health and Primary Care. They should have a strong understanding
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everyone feels they belong and is respected. Even if your past experience doesn't match perfectly with this role's criteria, your contribution is valuable, and we encourage you to apply. Please ensure
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to distillation, extraction, absorption, evaporation, washing, crystallization and membrane separations Process modeling and flow-sheeting, use of relevant process simulation tools Experimental laboratory work
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consider any desirable criteria, but we would urge candidates to provide evidence for all criteria. Please don’t forget to check if there is any weighted criteria (see above). While some criteria will be
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models to assess the environmental impacts of bio-based products and systems using software tools such as OpenLCA. Analyze complex datasets to identify key areas for improvement in environmental
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customers and partners, and through new approaches and delivery models we will deliver a seamless experience for our flexible learners. There will be consideration of new flexible master’s programmes
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sources of ideas within and outside the University and monitor the external environment, ensuring that the University’s approaches are fit-for-purpose and future looking. You will be joining the University