648 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" uni jobs at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Field
-
PhD at the Forefront of Computational Solid Mechanics and Machine Learning School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application
-
apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Self Funded or externally funded students only References Cirillo, S., et al., (2024
-
safely at all times, complying with health and safety legislation, regulations, environmental compliance procedures and systems and other relevant guidelines. Train and advise others in the workshop as and
-
Research Application form available here: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying. Please clearly state the prospective main supervisor in the respective box and select ‘School
-
societal costs. Recently, computational models based on in vivo microCT images have shown high potential to assess the biomechanical properties of bones. In this project, we will aim to show that microCT
-
/05/2026 - 30/11/2027 Line manager Senior Lecturer in Fuels and Combustion Direct reports None Our website https://sheffield.ac.uk/mac For informal enquiries about this job contact Dr Ruoyang Yuan
-
Senar, an expert on biological invasions, at the Museum of Natural Sciences in Barcelona, Spain. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying
-
website https://sheffield.ac.uk/disability-dyslexia-support For informal enquiries about this job contact Mary Jacques (Office Coordinator), at m.jacques@sheffield.ac.uk Next steps in the recruitment
-
concern. According to the World Health Organization (https://www.who.int/news-room/fact-sheets/detail/antimicrobial-resistance), bacterial AMR alone was directly responsible for 1.27 million global deaths
-
Particulate Modelling for Next Generation Batteries, you will develop new theoretical and computational understanding of the relationships between manufacturing methods and conditions, the resulting particle