Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Sheffield
- University of Oxford
- UNIVERSITY OF VIENNA
- University of Glasgow
- Nottingham Trent University
- Cranfield University
- Loughborough University
- Nature Careers
- University of Birmingham
- University of Cambridge
- University of Manchester
- Aston University
- Birmingham City University
- Heriot Watt University
- Imperial College London
- KINGS COLLEGE LONDON
- King's College London
- Lancaster University
- Ulster University
- University of Bath
- University of Bristol
- University of Leicester
- University of Newcastle
- University of West London
- Wenzhou Business College
- ; Imperial College London
- Arden University
- Cardiff University
- DURHAM UNIVERSITY
- Durham University
- Manchester Metropolitan University
- Medical Research Council
- Swansea University
- University of London
- University of Northampton
- University of Winchester
- University of the West of England
- 28 more »
- « less
-
Field
-
transmission methods (wired or wireless) will be optimised for robust data capture in natural sleep environments. AI-Driven Analysis: Develop advanced AI algorithms to analyse the collected sensor data, aiming
-
supercomputer in the UK and amongst the most powerful in Europe. The AI Supercomputing team owns the entire process of developing and operating the centre’s compute and software infrastructure, which includes
-
to the future upgrade of the CMS experiment. In particular, you will take a leading role in the development of the upgraded Tracker backend and Level-1 Trigger systems. Your focus will be algorithm development
-
of rail with wider city and regional transport networks. A focus of this work is the application of optimisation techniques (e.g. evolutionary algorithms, or Bayesian techniques) to identify high performing
-
of tumour growth and metastasis. Project outline The Computational Biology Group applies a range of computational and Machine Learning approaches to the interpretation and analysis of complex multimodal
-
machine vision algorithms. The system will be designed with the physical constraints of remote fusion environments in mind, including radiation tolerance, restricted access, and the need for automation and
-
prevent chronic conditions. This KTP project builds the collaboration between DDM Health Ltd., Coventry, and Department of Computer Science and Department of Biological Sciences, Royal Holloway, University
-
-quality data. The postholders will help support data analysis tasks and work on computational algorithms to help streamline data annotation. Image computing activities involve expanding on interactive
-
programme of research that is fully funded by the Aerospace Technology Institute (ATI) in a large collaborative programme with several Industry partners. For the aerospace industry and the stringent safety
-
physics, astronomy and biology. The Department of Computer Science is investing for growth in Computer Engineering and Architecture, as the enabling activity for these areas, and more. As a member of staff