16 postdoc-in-distributed-systems-and-controls Fellowship positions at University of Leeds
Sort by
Refine Your Search
-
decision making, while you will be capable to apply machine learning and computational algorithms of social choice. This post is associated with following projects: Embedding EDI in the Distribution
-
decarbonisation is essential if the UK is to meet statutory greenhouse gas (CO2e) emissions targets. Historically, CO2e emissions reduction measures have not systemically considered physical and mental health
-
The 6G National Research Programme is at the forefront of pioneering research and development in the field of 6G technologies. As part of the Communications Hub for Empowering Distributed Cloud
-
of Earth and Environment (SEE), and working closely with its School of Civil Engineering, you will use various seismic datasets – including data already recorded with fibre-optic distributed sensing systems
-
sub-seasonal weather forecasts for African agriculture. The Cumulus project is a consortium of UK and African partners funded by the Gates Foundation, which aims to make a breakthrough in the
-
looking to apply your expertise to real-world weather forecasting challenges in Africa? Machine-learning has the potential to revolutionise weather prediction for and in Africa, and we are seeking a machine
-
Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year! Generous pension scheme plus life assurance – the University contributes 14.5% of salary . Health
-
universities? We are seeking an experienced Research Fellow to join the Nutritional Epidemiology Group (NEG) to support an exciting new project: Evaluation of the School Fruit and Veg Scheme. The project will
-
that the University is closed by custom (including Christmas) – That’s 42 days a year! • Generous pension scheme plus life assurance – The University contributes 14.5% of salary. • Health and Wellbeing
-
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