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(depending on the preference of the interviewee). Most interviews are likely to be by telephone or virtual but travel around the UK may be needed. Prepare data by liaising with the School transcription service
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research frontier in computer vision that combines three critical challenges: class imbalance, recognition of rare and unseen species, and dense labelling of high-resolution imagery. The candidate will
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co-design workshops with men from Black backgrounds and lower income backgrounds, in communities across Yorkshire. You will lead data analysis within the team and help develop targeted recruitment
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are to: Develop a probabilistic machine learning tool that can determine the optimal grinding parameters for different scenarios based on required material removal depth and rail grade. Generate data through
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science policy, science communication and beyond. Further information on the programme and instructions on how to apply, including a link to the application portal, can be found on our website https
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information, please contact Prof. Rob Dwyer-Joyce at r.dwyer-joyce@sheffield.ac.uk Learn More: Leonardo Centre: www.sheffield.ac.uk/leonardocentre John Crane Ltd: www.johncrane.com Become a leader in clean
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. Their expertise will provide you with unparalleled exposure to industrial research and development. Interested? Apply Now! For more information, please contact Prof. Rob Dwyer-Joyce at r.dwyer-joyce@sheffield.ac.uk
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years prior to the start of the scholarship. Interested? Contact Phil McMinn (p.mcminn@sheffield.ac.uk) for more information or apply here: www.sheffield.ac.uk/made4manufacturing/how-apply How to Apply
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with a first class or upper second-class degree in engineering, physics, applied mathematics or a related field. A solid foundation in fluid dynamics and heat transfer, and experience with computer
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engineers Opportunities to work with industry leaders at John Crane Ltd Access to cutting-edge lab facilities and real-world data A platform to publish in top journals and attend international conferences Why