Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Exeter
- Cranfield University
- University of Nottingham
- University of Birmingham
- University of East Anglia
- University of East Anglia;
- ;
- University of Exeter;
- Imperial College London;
- University of Birmingham;
- University of Cambridge
- University of Cambridge;
- The University of Manchester
- University of Sheffield
- Swansea University
- Loughborough University
- The University of Manchester;
- University of Oxford
- AALTO UNIVERSITY
- KINGS COLLEGE LONDON
- Newcastle University
- Harper Adams University
- UNIVERSITY OF VIENNA
- University of Liverpool
- University of Newcastle
- University of Oxford;
- University of Warwick;
- Manchester Metropolitan University
- Newcastle University;
- The University of Edinburgh;
- University of Glasgow
- University of Liverpool;
- University of Warwick
- Bangor University
- Edinburgh Napier University;
- Imperial College London
- King's College London
- Loughborough University;
- University of Bristol
- University of Leeds
- University of Sheffield;
- University of Surrey
- NORTHUMBRIA UNIVERSITY
- Oxford Brookes University
- Swansea University;
- The Institute of Cancer Research
- The University of Edinburgh
- University College London
- University of Bradford;
- University of Essex
- University of Leeds;
- University of Manchester
- University of Nottingham;
- University of Plymouth
- University of Reading;
- Brunel University London;
- Coventry University Group;
- Cranfield University;
- Durham University;
- European Magnetism Association EMA
- Hartpury University and College;
- King's College London Department of Engineering
- King's College London;
- Lancaster University
- Lancaster University;
- Liverpool John Moores University
- Manchester Metropolitan University;
- Nature Careers
- Northumbria University
- Northumbria University;
- Royal College of Art
- Royal Holloway, University of London
- Royal Holloway, University of London;
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Society for the Study of Addiction
- UCL;
- UWE, Bristol
- Ulster University
- University of Derby
- University of Glasgow;
- University of Hertfordshire
- University of Hull
- University of Hull;
- University of London
- University of Plymouth;
- University of Salford;
- University of Sussex
- University of Sussex;
- University of York;
- jobs.ac.uk
- 80 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Economics
- Materials Science
- Chemistry
- Environment
- Mathematics
- Earth Sciences
- Business
- Psychology
- Electrical Engineering
- Humanities
- Law
- Arts and Literature
- Education
- Science
- Linguistics
- Social Sciences
- Philosophy
- Physics
- Sports and Recreation
- 13 more »
- « less
-
AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
-
ecosystem services such as carbon storage (1-4). Recent advances in satellite observations and machine learning provide novel opportunities to study extreme fires on a global scale. In a changing climate
-
sluggish diffusion kinetics of HEAs make them excellent candidates for resisting oxidation and corrosion in high-temperature steam. Guided by thermodynamic modelling and machine learning, we will identify
-
sustainable heritage management decisions (particularly in an African context), using advanced methods in satellite imagery analysis, remote sensing and machine learning, combined with geospatial analysis
-
designed to meet multiple needs in marine biodiversity monitoring. The project aims to develop embedded novel deep learning and computer vision algorithms to extend the system’s capabilities to classify
-
the confidence. The approach is capable of providing deep learning explainability and interpretability. Consider, based on drone images, the system diagnoses wrongly a problem like erosion, fatigue, etc and send
-
cell and spectroscopic analysers. Programming (e.g., R, Python) and machine learning for advanced atmospheric time-series analyses. Skills for presenting research at conferences and writing peer-reviewed
-
thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute
-
framework that compares and blends complementary paradigms of physics informed machine learning (such as PINNs, ODIL)—to (i) super-resolve experimental data, (ii) infer unknown parameters such as the
-
of the workflow. While the majority of the project is computer based, there is a small lab-based component in order to generate cell samples to be able to acquire the NMR data. Once proof of concept has been