Sort by
Refine Your Search
-
Country
-
Employer
- University of Oxford
- University of Oxford;
- King's College London
- University of Liverpool
- Queen Mary University of London;
- Durham University
- University of Reading;
- DURHAM UNIVERSITY
- Lancaster University
- Liverpool School of Tropical Medicine;
- Plymouth University
- University of Cambridge;
- University of Leeds
- University of Liverpool;
- University of New England
- jobs.ac.uk
- 6 more »
- « less
-
Field
-
Seed Fund grant and is fixed-term to 29 February 2028. The Secure Encryption Key Exchange (SEKE) project is aimed at developing an eavesdropper detection system based on noise statistics for optical
-
You will have or be close to the completion of a relevant PhD/DPhil in the area of statistics and / or Health Economics, together with relevant experience. You will have experience of managing and
-
of Dentistry, Oral & Craniofacial Sciences at King's College London. Our methodological work spans trustworthy AI, multimodal machine learning and statistical signal processing. Our translational work applies
-
approaches to experimental design, data analysis, statistical testing, and data visualization. Establish, optimize, validate, and troubleshoot experimental protocols. Maintain complete and accurate
-
the statistical theory behind the generation of turbulence and its effect on optical beams, develop software tools to simulate light propagation through the atmosphere, and create new and novel instrumentation
-
Demonstrable ability to plan and manage independent research. Experience of using NVIVO or other qualitative analysis software. Knowledge and ability to conduct statistical analysis using R software