232 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" positions at University of Sheffield
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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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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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an interdisciplinary supervisory team and an established Advisory Programme. The student will join the well-funded and friendly Whitfield lab (see blog). Please apply for this project using this link: https
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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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of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees/applyphd Applicants can apply for a Scholarship from the University of Sheffield but should note that
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of synchronised states using analytical and statistical techniques. Funding Notes This project is for self-funded or externally funded students only. References 1. Synchronisation of rotating turbulent (https://www
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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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, 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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Application Deadline: Applications accepted all year round Details The SBND (Short-Baseline Near Detector) experiment is part of the multi-detector Short Baseline Neutrino (SBN) programme located along
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backgrounds with a degree in molecular biology/bioinformatics and a broad interest in epigenetics and genome informatics. Experience with programming and sequencing data analysis is highly desirable