128 computational-physics "https:" "https:" "https:" positions at University of Sheffield
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support a process and outcomes evaluation of the Public Health Intervention Responsive Studies Teams (PHIRST) scheme (https://phirst.nihr.ac.uk/) and is funded by the National Institute for Health Research
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of data products and research across the Yorkshire and Humber Secure Data Environment (YHSDE) programme, specifically supporting the South Yorkshire Delivery Team. You will be the key liaison, working
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Synchronization of turbulent channel flow School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Yi Li, Dr Ashley Willis Application Deadline: Applications accepted all
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information with a high degree of accuracy and attention to detail and will have previously supported student or programme related processes. They will also be able to build effective relationships with staff
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accepted all year round Details The advent of easily accessible high performance computers or computer clusters and numerical techniques such as finite element methods (FEM) facilitates the highly accurate
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, including computer vision and machine vision. As a project engineer, you will ensure successful project delivery, delivering continuous improvements to IMG processes and build AMRC’s reputation in computer
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clinical utility. The study is funded by the Engineering and Physical Sciences Council (EPSRC), UK. This is a full-time role that involves a collaboration between the biophotonics group of Professor Stephen
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T.Vickey@sheffield.ac.uk or look at the University’s website: https://www.sheffield.ac.uk/postgraduate/phd. Further Information on the Particle Physics group in Sheffield and our projects can be found here
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For further reading see e.g., De Pontieu, Erdelyi and James, Nature 430, pages 536–539 (2004) https://www.nature.com/articles/nature02749 Dey et al., Nature Physics, 18, pages 595-600 (2022) https
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to explore include mono-chromatic and multi-chromatic illumination, structured illumination, and telecentric illumination distortions. Computer based image analysis approaches will be developed, including