Sort by
Refine Your Search
-
Listed
-
Employer
- University of Nottingham
- ;
- Imperial College London
- Nature Careers
- University of Birmingham
- Plymouth University
- UNIVERSITY OF SURREY
- KINGS COLLEGE LONDON
- King's College London
- Queen's University Belfast;
- UNIVERSITY OF SOUTHAMPTON
- University of Cambridge
- University of London
- UNIVERSITY OF MELBOURNE
- University College London
- University of Leeds
- University of Manchester
- University of the West of England
- AALTO UNIVERSITY
- Aston University
- Aston University;
- Birmingham City University
- CRANFIELD UNIVERSITY
- CRUK Scotland Institute
- City University London
- Northumbria University;
- Nuffield College
- Robert Gordon University;
- Swansea University
- The University of Southampton
- University of Cambridge;
- University of Hull
- University of Leeds;
- University of Newcastle
- University of Nottingham;
- University of Oxford
- University of Southampton;
- University of Stirling
- University of Surrey
- 29 more »
- « less
-
Field
-
the developed tool to perform systematic simulations and explore physical and chemical processes in detail, eventually linking key geometrical and operational parameters to the efficiency and yield of the reactor
-
uses, improving the AI and MRI algorithms, and linking them with information from biological studies on tumour tissue. This project harnesses AI to improve diagnosis and clinical decision-making leading
-
an excellent opportunity to build on existing expertise through design, conduct and supervision of studies, to develop a strong track record of published outputs and to build links with health policymakers
-
theme research with a focus on electricity markets and investor behaviour. Significant experience of working with government (e.g FCDO or DESNZ) Experience with data analysis and modelling Track record
-
Fixed Term Contract for 24 months We welcome applications from passionate and skilled post-PhD or experienced researchers in malacology, epidemiology, schistosomiasis modelling, or spatial data
-
. The successful candidate will work in close association with teams consisting of laboratory-based and clinical researchers to deliver the project. Experience with analysis of transcriptomic data is essential. Role
-
Wind Tunnel (IWT) facilities and providing support on experimental test campaigns. This will include assisting with tunnel and model instrumentation, data post-processing, analysis and management
-
area of ICT can be considered, but priority is given to candidates who support one (or more) of the HIIT strategic focus areas : Artificial Intelligence Computational Health Cybersecurity Data Science
-
) at the following link: https://app.casc.cam.ac.uk/fas_live/williamcook/ For further informal information please contact the Senior Tutor, Dr Marina Frasca-Spada, by email on mfs10@cam.ac.uk .
-
over India with Machine Learning’ (HEPPI-ML), which is funded through the ‘Weather and Climate Science for Service Partnership ’ (WCSSP) programme. It is also linked to the National Institute for Health