Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- ;
- University of Oxford
- UNIVERSITY OF SOUTHAMPTON
- University of Cambridge
- University of Nottingham
- KINGS COLLEGE LONDON
- University of Birmingham
- Heriot Watt University
- UNIVERSITY OF VIENNA
- Nature Careers
- University of Glasgow
- University of Liverpool
- University of London
- University of Newcastle
- Durham University
- QUEENS UNIVERSITY BELFAST
- UNIVERSITY OF SURREY
- AALTO UNIVERSITY
- CRANFIELD UNIVERSITY
- Imperial College London
- Queen's University Belfast
- University College Dublin
- University of Sheffield
- Aston University
- ROYAL HOLLOWAY, UNIVERSITY OF LONDON
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Technological University Dublin
- University College Cork
- University of Dundee
- University of Reading
- University of Surrey
- ; Aston University
- ; UCL
- ; University of Reading
- Birmingham City University
- Cranfield University
- EMBL-EBI - European Bioinformatics Institute
- King's College London
- Plymouth University
- Sheffield Hallam University
- Sheffield University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- Trinity College Dublin
- University of Manchester
- University of the West of England
- 35 more »
- « less
-
Field
-
and the economy. The postholder will be responsible for undertaking research in generative AI and machine learning methods for audio generation and audio-related multimodal content generation, including
-
to the Power Electronics, Machines and Drives Research Group (PEMC). Your research will focus on electrical machines, drives, design, materials, thermal management, control, and testing. The purpose of the role
-
, Mendelian randomisation, and other statistical and machine-learning methods. The appointed researcher will have research interests aligned with those of our groups and the freedom to develop their own ideas
-
variety of related subject including: Machine learning and deep learning techniques, preferably with a focus on generative models (e.g. GANs, VAEs, LLMs, VLMs,). Robust data analysis methods and tools
-
. You should be educated to at least MSc (or equivalent degree qualification) in EEE (PhD award essential for Research Associate). You should have a demonstrable record of signal processing/machine
-
transport, health, energy, manufacturing, and smart cities. To be successful you will have: PhD in Computer Science, Data Science, Machine Learning, Electrical Engineering, or a related field with focus
-
learning methods to improve the understanding, treatment and prevention of human disease. The successful candidate will develop novel statistical and machine learning algorithms to address key challenges in
-
a PhD/DPhil or equivalent in a quantitative discipline such as computer science, statistics, machine learning, statistical or population genetics, or a related field. They should have experience in
-
integrated with the NiMARE (NMA) software project. To be considered you will hold a relevant PhD/Dphil in statistics, machine learning or similar area, together with relevant experience working with brain
-
will hold a relevant PhD/Dphil in statistics, machine learning or similar area, together with relevant experience working with brain imaging data and possess sufficient specialist knowledge in brain