556 professor-computer "https:" "https:" "https:" "https:" "https:" "U.S" "St" positions at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
of the service, using internal and external data sets (e.g. curriculum data, the data that underpins regulatory compliance by the Office for Students and programme and module surveys) to help develop services
-
. Please see our website for more information about our lab: https://sites.google.com/sheffield.ac.uk/sheffieldcogdev/home Funding Notes The project is suitable for the ESRC White Rose DTP scholarship
-
website https://www.sheffield.ac.uk/cmbe For informal enquiries about this job contact Professor Ipsita Roy, Professor of Biomaterials: on I.Roy @sheffield.ac.uk . Next steps in the recruitment process It
-
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
-
, computer science or signal processing. Funding Notes This is a self-funded research project. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees
-
applicants with previous training in ecology, agriculture or computer science. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Self
-
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
-
, and constraint satisfaction. This new framework would also allow higher flexibility in managing the trade-offs between solution accuracy, optimality, and computational efficiency, to better adapt
-
work on one or a number of these aspects. Students with good degrees on robotics, electrical engineering, computer science, mathematics, cognitive science or subjects where signal processing and