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functionalisation catalysis and process optimisation guided by product distribution assessment as directed by Professors Simon Woodward and Pete Licence Prepare high quality supporting data for publications resulting
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of the research project, the successful candidate will be given support and freedom to develop their own research ideas. Hence, this position may be particularly attractive to those looking to develop
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. The faculty is also dedicated to equality, diversity, and inclusion; it was awarded engineering department in the UK to be awarded an Athena Swan Gold award for advancing gender equality in higher education
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freedom to develop their own research ideas. Hence, this position may be particularly attractive to those looking to develop their research independence and leadership skills in a supportive and team
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independent research on the development and examination of many-body models, and to apply and/or develop analytical and numerical methods for exploring spin-phonon coupled dynamics and stationary states. The
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We seek a Research Assistant to develop and demonstrate AI based models for generative design of industrially relevant unit operations. The role holder will assist and support the research team
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for a researcher, and so AI techniques that can quickly and accurately measure these images are in huge demand. Progress is best made by drawing on international expertise. This project will develop new
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project titled 'Ground-Based Array Network with AI for Enhanced Solar Forecasting and Decarbonised Grid Management'. The primary aim of this project is to develop weather sensors and an artificial
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duties to the highest standard and to evidence how through your experience you will: Undertake original research of international excellence. Develop research objectives and proposals for own and/or
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Date: Monday 25 March 2024 Reference: ENG070924 Applications are invited for the above post within the Faculty of Engineering, University of Nottingham, to develop weather sensors and an artificial