15 algorithm-development-"Multiple" "NTNU Norwegian University of Science and Technology" 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
-
inflammation in multiple organs, type I interferon activity autoantibodies poor quality of life. Musculoskeletal manifestations are among the most common and impactful to patients but poorly treated. We have
-
the climate crisis while also demonstrating a strong background in communicating evidence and insights to multiple stakeholders. Please note that this post may be suitable for sponsorship under the Skilled
-
). 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
-
patient safety. Our methods include: systematic literature reviews; qualitative, quantitative and mixed methods studies; complex intervention development; evaluation of interventions, including trials. We
-
halls. Personal Development: Access to courses run by our Organisational Development & Professional Learning team. Access to on-site childcare, shopping discounts and travel schemes are also available
-
? Do you want to develop your career in one of the UK’s leading research-intensive Universities? We are looking for an enthusiastic and agile post-doctoral Research Fellow to work on the Healthy Low
-
and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls. Personal Development: Access
-
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
-
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