209 machine-learning-"https:"-"https:"-"https:"-"https:"-"RAEGE-Az" Fellowship positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Oxford
- University of Birmingham
- CRANFIELD UNIVERSITY
- UNIVERSITY OF SOUTHAMPTON
- University of Leeds
- Cranfield University
- Queen's University Belfast;
- The University of Southampton
- University of Leeds;
- University of Nottingham
- King's College London
- Cranfield University;
- UCL;
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SURREY
- University of Brighton
- University of London
- King's College London;
- Nature Careers
- University of Exeter;
- University of Hertfordshire;
- University of Oxford;
- De Montfort University;
- Imperial College London
- London School of Hygiene & Tropical Medicine;
- Nottingham Trent University
- QUEENS UNIVERSITY BELFAST
- The Francis Crick Institute;
- University of Bath
- University of Birmingham;
- University of Stirling;
- University of Surrey
- University of the West of England
- Warwick Business School, The University of Warwick;
- Cardiff University
- Cardiff University;
- Coventry University Group;
- Durham University
- Imperial College London;
- London School of Economics and Political Science;
- Manchester Metropolitan University
- Oxford Brookes University;
- The University of Edinburgh;
- Ulster University;
- University of Bristol
- University of Cambridge
- University of Huddersfield;
- University of Liverpool
- University of Portsmouth;
- University of Sheffield
- University of Strathclyde;
- University of Surrey;
- University of Sussex;
- University of Warwick;
- University of Westminster;
- 46 more »
- « less
-
Field
-
, microbial cultures, and cleaning validation samples. Develop data analysis pipelines for Raman spectral classification, potentially integrating machine learning methods. Research & Project Responsibilities
-
analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during
-
for light–matter interaction in hyperuniform disordered plasmonic structures, including electromagnetic modelling, optimisation of metal–dielectric–metal resonators, and physics-informed machine-learning
-
conditions. The researcher will also work with team members within the consortium in generating necessary data required for developing a machine learning model for storm surge prediction. Key Responsibilities
-
experience) in applied mathematics, physics or engineering, and strong, up-to-date specialist knowledge in analytical and numerical spray modelling and machine learning. Experience with OpenFOAM or similar CFD
-
Digital Twin Framework for Smart and Sustainable Advanced Manufacturing Research area 3: Advanced Multifunctional Materials The ideal candidates would have a background in machine learning, manufacturing
-
discipline* Good knowledge and experience in at least one of the following: cancer biology / cancer immunology / epithelial cell biology / evolutionary biology / genomics / statistics / mathematics or machine
-
As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skills
-
, accumulated deformations, and their impact on structural performance, particularly for compression members. Develop data-driven reusability assessment platforms integrating NDT data, machine learning models
-
machine learning, spatial audio and audio-visual AI into groundbreaking creative technology. About you We seek a talented Research Fellow to investigate generative audio AI technology for production