Sort by
Refine Your Search
-
have a PhD or be a PhD candidate who has already submitted your thesis prior to starting the position, with a research track record on artificial intelligence, data science and computational social
-
University to focus on data collection in the North East. The two research fellows will work closely together. You will have a PhD (or near to competion) in Nutritional Epidemiology or a closely allied
-
Mamatha Nagaraj , Prof Helen Gleeson , Prof Gordon Love , and Dr Richard Mandle and at the University of Leeds. You will have an PhD degree (or have submitted your thesis before taking up the role) and
-
to spearhead research initiatives aimed at developing foundation models, contributing to the advancement of autonomy in telecommunication networks. Holding a PhD (or have submitted your thesis before taking up
-
evolution of sedimentary rocks with opening-mode fracture development. This project is funded by the Natural Environment Research Council (NERC) and this role is one of two PDRA positions funded through
-
of sedimentary rocks with fracture development. This project is funded by the Natural Environment Research Council (NERC) and this role is one of two PDRA positions funded through the project. In this role, you
-
them in the laboratory. You will also be responsible for analysing the data and dissemination of the results in a range of written formats and orally at farm events, workshops and conferences. You will
-
geophysicist looking for an innovative research challenge? Would you like to apply seismic expertise to the exploration and development of urban geothermal resources? This could be the research position for you
-
large team with colleagues in Leeds studying other aspects of blood clot structure and function and their influence on thrombosis. You will have a PhD in molecular biology, cell biology, biomedical
-
Do you want to further your career by applying your quantitative data analysis and modelling skills as part of an international multidisciplinary project on developing early warning systems