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Field
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and a wider group of stakeholders, you will lead the research on advanced image reconstruction techniques that jointly process multi-contrast MRI data to maximize image quality—leveraging shared
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Discipline: Engineering & Technology, Materials Science, Mechanical Engineering Qualification: Doctor of Philosophy in Engineering (PhD) This project is a collaborative research effort between
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control of image illumination/acquisition and stage movement systems. Processing and analysis of data from the above. Interacting with commercial collaborator for the translation of concepts to applied
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contact Anestis Tsakiridis on a.tsakiridis@sheffield.ac.uk Next steps in the recruitment process It is anticipated that the selection process will take place on place in the weeks following the closing date
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Annual tax-free stipend of £22,780/year for 4 years, full coverage of tuition fees for UK/Home Students, plus training/travel funds Placed On: We invite applications for a fully funded PhD research
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active for over 40 years and has now developed a programme of support for all KTP associates that focusses clearly on career and personal development. This 3 year post-doctoral position includes a
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great place to work. Application Process Applications for this vacancy are to be made online via www.recruit.ox.ac.uk and Vacancy ID 181852 . You will be required to upload your curriculum vitae and a
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Funding for: UK/Home Students We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available
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collaboration with Industry to develop a prototype gas adsorption rig for CO2 capture applications. About the role The post holder will develop a prototype adsorption-based system for CO2 capture. The candidate
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to process large (tens to thousands of TB) optical imaging datasets. • Develop, apply and deploy data handling pipelines designed to process multimodal imaging data with dozens of imaging channels