10 high-performance-computing-postdoc Fellowship positions at University of Leeds in United Kingdom
Sort by
Refine Your Search
-
dynamics in the machine-learning predictions, we aim to understand drivers of predictability: are there “windows of opportunity” of high predictive skill which may benefit farmers? Please note that this post
-
, and have experience of running global climate models on high performance computing platforms and analysing their output. You will have evidence of a strong commitment to publishing scientific results
-
. This will begin with begin by focusing on high-utilisation vehicles like taxis and e-trikes. Working with a health centre in rural Ghana, we will also explore ways in which co-locating charging infrastructure
-
This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements. Are you a Computer Scientist
-
Are you a researcher looking for your first challenge? Do you have a background in smart grid operation and control? Do you want to further your career in one of the UK’s leading research-intensive
-
. This group uses state-of-the-art Earth observation data and advanced computer techniques to study the Polar regions. We specialise in using Synthetic Aperture Radar (SAR) and altimetry satellite data
-
related methodological projects? Do you want to join a leading research centre to implement high quality health and social care research? We are seeking to appoint a dynamic statistician to join our centres
-
Duties and Responsibilities Designing, planning and conducting a programme of investigation, in consultation with Dr Simon Walker; Generating independent and original research ideas and methods in insect
-
natural fracture cements using a range of analytical techniques. In addition, you will perform post-mortem microstructural and microchemical analyses of fracture cements in samples deformed in laboratory
-
curriculum change project (Curriculum Redefined) that spans all undergraduate programmes. Stakeholders include students, module and programme leads, and student education leaders across the institution