Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Birmingham
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- KINGS COLLEGE LONDON
- UNIVERSITY OF SOUTHAMPTON
- King's College London
- Nature Careers
- University of Bristol
- University of Nottingham
- University of Leeds
- Queen's University Belfast
- Swansea University
- The University of Southampton
- University of Oxford
- University of Salford
- University of Surrey
- ; Swansea University
- ; Technical University of Denmark
- ; University of Copenhagen
- ; Xi'an Jiaotong - Liverpool University
- CRANFIELD UNIVERSITY
- CZECH UNIVERSITY OF LIFE SCIENCES
- Cardiff University
- Cranfield University
- Imperial College London
- Kingston University
- Manchester Metropolitan University
- Oxford Brookes University
- QUEENS UNIVERSITY BELFAST
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SURREY
- University of Glasgow
- University of Sheffield
- University of Stirling
- 24 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
-
) does not exceed 7 years. For general information on Postdocs at The ICR, more information can be found here . Department/Directorate Information The Division of Radiotherapy and Imaging brings together
-
(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
-
to work collaboratively. They should have good communication and team-working skills, and a strong command of English. You will join a dynamic group of academics, postdocs and PhD students using in situ