283 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at University of Sheffield
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use Kristin Lohwasser and Trevor Vickey as contact persons. For further Information, please email k.lohwasser@sheffield.ac.uk and T.Vickey@sheffield.ac.uk or look at the University’s website: https
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about this project. Funding Notes We welcome inquiries from: - applicants that have already secured PhD funding - self-funded applicants References https://microbialphysicsgroup.sites.sheffield.ac.uk
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. Further details about HOW TO APPLY, see https://soundfutures.salford.ac.uk/ Funding Notes Fully funded 4-year PhD Scholarship including UKRI stipend, tuition fees and generous research grant. Eligibility
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1 year Line manager Assessment and Progression Manager Our website https://sheffield.ac.uk/saas For informal enquiries about this job contact Cheryl Woods, Assessment and Progression Manager: on
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with core data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project Description: The highly
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tandem. How to apply: please specify that the project is withiin the Fusion Engineering CDT and apply though this link https://www.bristol.ac.uk/study/postgraduate/apply/ Funding notes This project is part
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ACCE+ DLA Programme: Assessing the role of upland fires in air pollution and public health in the UK
recruitment process, can be found at https://accedtp.ac.uk/, in the ‘prospective applicants’ tab. Project Overview : Importance. Upland fires, driven by climate change and controlled burning, are becoming
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The position if funded by a Faculty of Science studentship. References https://high-energy-theory.sheffield.ac.uk/open-positions/phd-opportunities View DetailsEmail EnquiryApply Online
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Overview Data Connect (https://sheffield.ac.uk/data-connect ) is a strategic priority initiative by the University of Sheffield and is one of the University’s Centres of Excellence. It has direct
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through model forests. Granular Matter, 22(1), 1–10. https://doi.org/10.1007/s10035-019-0980-9 Zhang, Y., Shen, C., Zhou, S., & Luo, X. (2022). Analysis of the Influence of Forests on Landslides in