15 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof"-"Prof" Fellowship positions at University of Leeds
Sort by
Refine Your Search
-
international specialists. Within Cumulus, you will lead the development of “downscaling” methods for sub-seasonal (2-4 week) forecasts. Our priority will be to implement deep-learning based methods, to turn
-
of sub-seasonal (2-4 week) forecasts. Other members of the team will be developing innovative machine-learning methods for global sub-seasonal prediction and downscaling for Africa. We aim to get the first
-
Salary: Grade 7 (£39,105 – £46,485 p.a. depending on experience) School of Earth and Environment, Faculty of Environment Are you an ambitious researcher looking to develop your skills
-
universities? Overview of the Role As a Research Fellow in Railway Microgrid Control, you will join an exciting consortium to accelerate the journey to transport decarbonisation by developing energy hubs and
-
, climbing wall, cycle circuit, and sports halls. Personal Development: Access to courses run by our Organisational Development & Professional Learning team. Access to on-site childcare, shopping discounts and
-
). This role is an exciting opportunity to take a role in the development, management and analysis of a new repository of Individual Participant Data (IPD) from ageing research trials. The work is an
-
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
-
. You will work with Professors Dave Healy and Sandra Piazolo at Leeds, and collaborate with Professor Cathy Hollis (University of Manchester), to couple understanding of the diagenetic evolution
-
energy needs in Sub-Saharan Africa, advancing sustainable energy access and local development. You will be based in the Sustainability Research Institute of the School of Earth and Environment, working
-
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