Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- Durham University
- University of Oxford
- University of Liverpool
- University of Bristol
- University of Exeter
- University of Hertfordshire
- Bournemouth University
- DURHAM UNIVERSITY
- John Innes Centre
- University of Lincoln
- Cardiff University
- Edge Hill University
- Imperial College London
- KINGS COLLEGE LONDON
- Liverpool John Moores University
- Queen Mary University of London
- UNIVERSITY OF GREENWICH
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF SURREY
- UNIVERSITY OF VIENNA
- University of Cambridge
- University of London
- 13 more »
- « less
-
Field
-
computer science with specialisation in data science, machine learning or deep learning, or in Earth/Environmental Science with experience in applied data science, machine learning or deep learning. You also will
-
the environment and sustainability. The role is funded for 24 months in the first instance, with an expected start date of July 2024. About You You will have a PhD and track record in either computer science with
-
the environment and sustainability. The role is funded for 24 months in the first instance, with an expected start date of July 2024. About You You will have a PhD and track record in either computer science with
-
We are seeking two full-time Postdoctoral Research Assistants in Computer Vision to join the Visual Geometry Group (Central Oxford). The posts are funded by ERC or EPSRC and are fixed-term for 2
-
the long-term, nationally representative Countryside Survey , AI-Hab will leverage the latest advances in computer vision and deep learning to deliver an automated monitoring tool for habitat classification
-
of organic materials. We seek a Postdoctoral Researcher to develop computer-vision methods to facilitate the automation of chemical reactions and characterisation. The aim is to automate where possible to free
-
using X-Ray images. The successful candidate will be responsible for conducting cutting-edge research in machine learning and computer vision applied to medical data. Responsibilities: Conducting research
-
learning algorithms for ecoacoustic data analysis. No prior experience in ecoacoustics analysis is required and candidates with deep learning algorithms from fields such as computer vision or natural
-
Liverpool. We are looking for someone who shares our exciting vision to join us in creating a ground-breaking research programme that will shape the lives of future generations. You will be based within
-
relevant PhD/DPhil (or be near completion) in machine learning, computer vision or biomedical image analysis, together with relevant experience. Publications/presentations in top conferences and journals in