Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- KINGS COLLEGE LONDON
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Birmingham
- UNIVERSITY OF SOUTHAMPTON
- King's College London
- University of Leeds
- University of Nottingham
- Nature Careers
- University of Bristol
- University of Surrey
- Swansea University
- University of Oxford
- ; CRUK Scotland Institute
- ; Queen Mary University of London
- ; Technical University of Denmark
- ; Xi'an Jiaotong - Liverpool University
- CRANFIELD UNIVERSITY
- CZECH UNIVERSITY OF LIFE SCIENCES
- Cardiff University
- Cranfield University
- Imperial College London
- Manchester Metropolitan University
- Oxford Brookes University
- QUEENS UNIVERSITY BELFAST
- Queen's University Belfast
- The University of Southampton
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SURREY
- University of Glasgow
- University of Sheffield
- University of Stirling
- 22 more »
- « less
-
Field
-
river system Develop, test and apply algorithms for the processing and analysis of satellite data drawing on the latest physics-based and/or data-driven techniques Contribute to work on the automation and
-
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
-
(hiPSCs), cardiomyocytes, metabolism About the project We are recruiting a postdoc (established or newly graduated from their PhD) who has an exceptional ‘can-do’ attitude, with drive and enthusiasm to push
-
web technologies Experience in teaching bioinformatics Previous experience with AI and/or machine learning approaches Interest in reproductive health and/or development of clinical tools and algorithms
-
We are seeking a Research Fellow to perform research on deployment of machine-learned models for health analytics on distributed IoT/edge/cloud systems using transprecise computing and contribute
-
algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It investigates how the unique capabilities of quantum computing
-
conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
-
applications for monitoring and managing aquatic environments under study, the Mekong river delta and the Forth river system Develop, test and apply algorithms for the processing and analysis of satellite data
-
or more of: the use of micro/nanofabrication and materials characterization tools; computational multi-physics/electromagnetics modelling and/or the application of machine learning algorithms; experimental
-
The 6G National Research Programme is at the forefront of pioneering research and development in the field of 6G technologies. As part of the Communications Hub for Empowering Distributed Cloud