Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of East Anglia
- University of Nottingham
- ; City St George’s, University of London
- AALTO UNIVERSITY
- University of Cambridge
- University of Sheffield
- ;
- ; Swansea University
- ; The University of Manchester
- Loughborough University
- The University of Manchester
- The University of Manchester;
- University of Cambridge;
- Bangor University
- KINGS COLLEGE LONDON
- Oxford Brookes University
- University of Bristol
- University of East Anglia;
- University of Nottingham;
- University of Sheffield;
- University of Surrey
- University of Warwick
- ; Coventry University Group
- ; University of Exeter
- ; University of Nottingham
- Abertay University
- Bangor University;
- Harper Adams University
- King's College London;
- Liverpool John Moores University
- Loughborough University;
- Manchester Metropolitan University;
- Nature Careers
- The University of Edinburgh
- The University of Edinburgh;
- UCL
- University of Birmingham
- University of Birmingham;
- University of Exeter
- University of Newcastle
- University of Oxford
- 32 more »
- « less
-
Field
-
syndrome. Targeted projects currently include the following: Use AI/machine learning approaches to develop a means to quantify and classify tic movements and vocalisations in Tourette syndrome/tic disorder
-
the intersection of ecology, machine learning, and sustainable land management, the research will combine field data collection, deep learning model development, and stakeholder co-design to support biodiversity
-
. You will focus on machine learning, but will be involved in all areas. There are also spinout opportunities. For details: PhD information sheet The team have wide experience studying bumblebee behaviour
-
on the performance of the CMF; Using machine-learning (deep learning) methods to develop a predictive model and conduct the sensitivity study to investigate the multiple factors on the performance of flow meter
-
the investigation and realization of improved microwave probe design, data processing, and visualization techniques to provide a robust method of data analysis, flaw characterization and sizing. AI/machine learning
-
* Theoretical foundations of machine learning The group has strong ties with the Centre for Discrete Mathematics and its Applications (DIMAP), established in 2007 jointly with Warwick Mathematics Institute and
-
, biology, or a closely related discipline Desirable experience: optics and photonics, AI/machine learning, biology, or biomedical sciences Excellent English, analytical, and problem-solving skills UK
-
intelligence, NLP, machine learning, or a related field Experience with Python and Generative AI libraries (e.g., Huggingface Transformers) Knowledge of Multimodal Generative AI models and their corresponding
-
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
-
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