660 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" "St" uni jobs at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Field
-
ACCE+ DLA Programme: The impact of climate change on sexually selected traits and its consequences for evolutionary fitness School of Biosciences PhD Research Project Competition Funded Students
-
interdisciplinary research. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes This is a self-funded project. Applicants must secure their own
-
BBSRC Yorkshire Bioscience DLA Programme: How does the Oestrogen receptor globally regulate transcription across the genome during development? School of Biosciences PhD Research Project Competition
-
Professional Services colleagues in supporting the University’s wider strategic ambitions, and will lead the Campaigns and Alumni Relations team to deliver ambitious fundraising targets, secure transformational
-
BBSRC Yorkshire Bioscience DLA Programme: Predicting pathogen evolution: using experimental evolution to understand the impact of phage therapy on Clostridioides difficile School of Biosciences PhD
-
the field to inform farmers of varying soil conditions through traditional remote sensing techniques. For further Information, please email p.stowell@sheffield.ac.uk or look at the University’s website: https
-
transductions. Funding Notes Self-Funded Students only References https://sites.google.com/sheffield.ac.uk/peden-lab https://etheses.whiterose.ac.uk/28686/ View DetailsEmail EnquiryApply Online
-
ACCE+ DLA Programme: Quantifying water storage beneath the Greenland Ice Sheet and its influence on ice dynamics and runoff School of Geography and Planning PhD Research Project Competition Funded
-
BBSRC Yorkshire Bioscience DLA Programme - Decoding the epigenetic language shaping root parasite-host communication School of Biosciences PhD Research Project Competition Funded Students Worldwide
-
trenching, remoulding, and pore-pressure variation. This project will develop a new computational model to simulate seabed–mooring interaction at the particle scale. It will combine the Discrete Element