22 postdoctoral-image-processing-in-computer-science-"EPIC" research jobs at University of Sheffield
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collaborate with researchers at Ludwig Maximilian University, Munich and Centre Algatech, Trebon, Czech Republic, as part of the Synergy research programme. The aims of the Sheffield part of the Synergy
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will primarily support the Head of School (Professor George Panoutsos, Chair in Computational Intelligence) and his research activities in the area of Machine Learning (ML) for Engineering, focusing
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Health Technology Assessment at s.ren@sheffield.ac.uk or on 0114 222 0696. Next steps in the recruitment process It is anticipated that the selection process will take place the week commencing the 14th
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Programme: Hybrid CFD and process simulation for process intensification of post-combustion CO2 capture School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof
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Overview An exciting opportunity has arisen for a talented and enthusiastic individual interested in developmental biology. You will join a Wellcome Trust-funded project team in the School
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Overview An exciting opportunity has arisen for a talented and enthusiastic individual interested in developmental biology. You will join a Wellcome Trust-funded project team in the School
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sector. We are seeking a motivated student with interests in developmental biology and disease modelling. This interdisciplinary project combines both wet bench work and computational work (image analysis
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test a variable stiffness catheter. Conduct in-vivo animal trials of the prototype. Do market discovery of the technology by actively participating in the Commercialization Journey programme offered by
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(see below). There is currently one fellowship available where the successful candidate will join one of our Cardiovascular Research Teams, details as follows: - BRC Theme: Cardiovascular / Imaging
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Overview This research assistant post will enable the candidate to undertake a PhD on the diagnosis of pancreatic cancer, specifically focusing on examining the use of imaging before a diagnosis is