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Overview An opportunity has arisen for an experienced image analysis and computing scientist with experience in both classical image processing and artificial intelligence to work as part of
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were constructed. The results will be compared with those for a charged scalar field [2]. The second part of the project involves computing the renormalized expectation value of the stress-energy tensor
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the School of Allied Health Professions, Pharmacy, Nursing and Midwifery (https://www.sheffield.ac.uk/ahpnm ), you will join a vibrant community of teachers and researchers building the discipline of Pharmacy
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of Professor Jim Wild. (Webpage: https://www.sheffield.ac.uk/polaris , Twitter: @UosPolaris ) and you will have a joint appointment with the School of Electrical and Electronic Engineering. As well as conducting
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, with an active programme of seminars and a journal club. Funding Notes This project is for Self-funded students or students with external funding. References https://gravity
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candidates for this project should have a strong background in Applied Mathematics, Engineering, Physics or other related disciplines. Full details of how to apply can be found at the following link: https
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and characterizing disease-specific EVs and identifying and optimising biomarkers to enable detection on novel nanoplasmonic surfaces. This project forms part of an EPSRC Programme Grant, Molecular
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and Interview Ability to prioritise work while maintaining standards Desirable Application and Interview Basic computer skills, use of emails and ability to use online training modules. Desirable
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molecular detail. You will use a combination of structural computational/artificial intelligence approaches, protein biochemistry and single-molecule techniques, such as optical tweezer assays and single
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of the system is within the set at some time, then it is guaranteed to remain within the set for all future times. Therefore, being able to characterize and compute these sets is of prime importance when