Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- ;
- ; University of Southampton
- ; University of Sheffield
- Cranfield University
- ; City, University of London
- University of Cambridge
- ; The University of Manchester
- ; University of Bradford
- ; University of Exeter
- ; Aston University
- ; Babraham Institute
- ; Coventry University
- ; Cranfield University
- ; Imperial College London
- ; Northeastern University London
- ; UWE, Bristol
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Nottingham
- ; University of Oxford
- ; University of Warwick
- ; Western University
- Abertay University
- University of Aberdeen
- University of Hertfordshire
- University of Leeds
- University of Nottingham
- University of Sheffield
- 18 more »
- « less
-
Field
-
About the project Deep learning could revolutionise character animation by enabling the automatic transfer of poses from observations like 2D images to 3D characters. This project aims to tackle
-
PhD Supervisor: Antonia Marcu Supervisory Team: Antonia Marcu, Jonathon Hare Project description: Deep Learning (DL) is a widely successful tool. However, there are many fundamental challenges left
-
facility inspection, surveillance, face recognition, crowd counting, and vital sign measurement. The integration of deep learning into multimodal information fusion has recently attracted significant
-
AI has the potential to revolutionise healthcare, providing tools for fast and reliable analysis and interpretation of medical data. For instance, many deep learning models for medical image
-
This research opportunity aims to hire PhD students as a self-funded program. By analysing retinal images with deep learning technology, early detection of Alzheimer’s disease may be possible. By
-
for the diagnosis and severity monitoring of ADHD. Additionally, we would like to evaluate whether an integration of advanced signal processing, network analysis and deep learning techniques would improve
-
Supervisory Team: Dr Christine Evers Project Description: Are you keen on conducting research at the intersection of artificial intelligence, deep learning and robot perception? We are recruiting a
-
very challenging. Therefore, high-throughput screening of drug-like molecules needs to also consider their synthetic viability. The aim of this project is to develop a deep learning and generative design
-
diverse cultural backgrounds to study the relationship between perceptual and cognitive aspects of colour communication. This involves using state-of-the-art multi-modal deep learning models to estimate
-
The recent advent of deep learning (DL) has enabled data-driven models, paving the way for the full exploitation of rich image datasets from which physics can be learnt. Here at the University