18 application-programming-android-"Prof" Fellowship positions at University of Leeds
Sort by
Refine Your Search
-
Universities? You will join a collaborative programme with Merck Electronics KGa, a world-leading company working in liquid crystals. You will work with a team of scientists from the company along with Dr
-
, this may be your passport or status under the EU Settlement Scheme. Please note that due to Home Office visa requirements, this role is not suitable for first-time Skilled Worker visa applicants What we
-
publications reporting these findings, and present your work at international science conferences. Your research at Leeds will form a central role of a large international consortium project lead by Prof Hogg
-
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
-
fundamental research to accelerate the Energy Transition? The role is based at Geosolutions Leeds, an exciting new strategic investment by the University of Leeds as part of its Climate Plan, supporting
-
research to accelerate the Energy Transition? The role is based at Geosolutions Leeds, an exciting new strategic investment by the University of Leeds as part of its Climate Plan, supporting the refocusing
-
curriculum change project (Curriculum Redefined) that spans all undergraduate programmes. Stakeholders include students, module and programme leads, and student education leaders across the institution
-
application of machine-learning forecasting methods for West African agriculture. The project is led by the UK’s Alan Turing Institute, with partners in Senegal and Ghana, and all partners will collaborate
-
post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information, please visit the Government’s
-
African partners funded by the Gates Foundation, which aims to make a breakthrough in the application of machine-learning forecasting methods for West African agriculture. The project is led by the UK’s