296 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Nottingham
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
learning, computational neuroscience, and cognitive science, and the student will work closely with both supervisors to move between these perspectives. We are looking for a candidate with a strong
-
, robotics, and machine learning. You will work within a multidisciplinary supervisory team spanning engineering, robotics, and computer science, and collaborate with researchers working on real-world
-
This exciting opportunity is based within the Advanced Materials Research Group at Faculty of Engineering to conduct cutting edge research into upgrading novel biomass feedstocks with industrial
-
About the role As part of our annual Faculty of Engineering Apprenticeship Training Programme, we have an exciting opportunity for an advanced Level 4 Electronics & Teaching Technical Apprenticeship
-
of Health Sciences is seeking to appoint a Teaching Associate to support the teaching (theory and practice) and related activities in the undergraduate physiotherapy programme. This will include collaborating
-
Purpose of role: The Biochar Demonstrator is a £4.5M project funded by BBSRC as part of the £30M Greenhouse Gas Removal (GGR) programme. The Demonstrator will address the uncertainties concerning
-
(School of Medicine), Teaching Associate – thomas.bestwick-stevenson@nottingham.ac.uk This project is not funded, and we are seeking a student who can self-fund the PhD. Programme description: The overall
-
Purpose of role: The Biochar Demonstrator is a £4.5M project funded by BBSRC as part of the £30M Greenhouse Gas Removal (GGR) programme. The Demonstrator will address the uncertainties concerning
-
strategic National Research & Innovation Centre that brings together the UK chemicals industry, academic researchers, and policy makers to advance technology solutions that strengthen UK chemical capability
-
was formed in 2013 to accelerate the development and evaluation of new technology to address unmet clinical needs related to mental health. You will join an established team, led by Professor Chris Hollis