Sort by
Refine Your Search
- 
                Listed
- 
                Category
- 
                Employer- Cranfield University
- University of East Anglia
- University of Nottingham
- AALTO UNIVERSITY
- Loughborough University
- University of Sheffield
- ;
- Bangor University
- The University of Manchester
- The University of Manchester;
- University of Birmingham
- University of Cambridge
- University of Cambridge;
- University of Warwick
- ; The University of Manchester
- KINGS COLLEGE LONDON
- Oxford Brookes University
- University of Bristol
- University of East Anglia;
- University of Nottingham;
- University of Sheffield;
- University of Surrey
- ; City St George’s, University of London
- ; Coventry University Group
- ; University of Exeter
- ; University of Nottingham
- Abertay University
- Harper Adams University
- King's College London;
- Liverpool John Moores University
- Loughborough University;
- Manchester Metropolitan University;
- Nature Careers
- Newcastle University
- The University of Edinburgh
- The University of Edinburgh;
- UCL
- University of Birmingham;
- University of Exeter
- University of Leeds
- University of Newcastle
- University of Oxford
- 32 more »
- « less
 
- 
                Field
- 
                
                
                This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at 
- 
                
                
                measurement; Measurement of related tracers (e.g., Radon); Programming (e.g., R, Python) for advanced atmospheric time-series analyses, including machine learning; Skills for presenting research at scientific 
- 
                
                
                by detecting and predicting threats such as pests, diseases, and environmental stress in line with the UK Plant Biosecurity Strategy. The project harnesses computer vision, deep learning, and large 
- 
                
                
                species, and the emergence of previously unseen classes. Recent advances in remote sensing and machine learning provide new opportunities to address these challenges, but most current approaches 
- 
                
                
                filled. This fully funded PhD explores AI-native and sensing-aware wireless systems where communications and sensing are co-designed end-to-end. You will unify modern machine learning, statistical signal 
- 
                
                
                PhD: Systematic Exploration of Robot Behaviours for Manufacturing Tasks to Automatically Discover Failure Scenarios EPSRC Centre for Doctoral Training in Machining, Assembly, and Digital Engineering 
- 
                
                
                insights from geometry and topology to discover new applications of machine learning. Multiple positions may be available. Role Requirements The successful candidate must have a PhD (or close to submitting 
- 
                
                
                sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems 
- 
                
                
                spectroscopic methods suitable for large-scale sample screening and eventual field deployment. The project will also involve developing your skills in data science, including multivariate analysis, machine 
- 
                
                
                data are needed to enhance our understanding of sources, pathways and impact of litter. Cefas is developing a visible light (VL) deep learning (DL) algorithm and collected a large 89 litter category