Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Nottingham
- University of Birmingham
- Nature Careers
- Imperial College London
- KINGS COLLEGE LONDON
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Cambridge
- King's College London
- UNIVERSITY OF SOUTHAMPTON
- University of Glasgow
- University of Oxford
- Queen's University Belfast
- The University of Southampton
- ; Technical University of Denmark
- ; Xi'an Jiaotong - Liverpool University
- CRANFIELD UNIVERSITY
- Durham University
- Oxford Brookes University
- St George's University of London
- UNIVERSITY OF SURREY
- University College London
- University of Exeter;
- University of Leeds
- University of Leicester
- University of Manchester
- University of Sheffield
- University of Stirling
- University of Surrey
- 19 more »
- « less
-
Field
-
methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system architecture, component selection, and
-
studies is an integral part of the post, which will also involve training in intracoronary imaging and physiology. It is not an approved training post. It is not a suitable post for candidates with limited
-
Position: Preclinical Molecular Imaging Key Information Salary: Commencement on the salary range is subject to comparable skills and experience. This role is eligible for ICR Sponsorship. Support
-
medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and astrostatistics. These posts
-
of Physics at the University of Warwick is seeking a highly motivated and talented Research Fellow to contribute to pioneering research in the development of quantum magnetic sensors and advanced imaging
-
circumstances and is a postdoctoral role under SOC code 2119. The University of Stirling recognises that a diverse workforce benefits and enriches the work, learning and research experiences of the entire campus
-
are included but clinical medical themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data
-
themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
-
themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
-
, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and