Sort by
Refine Your Search
-
Category
-
Employer
- Manchester Metropolitan University
- University of Exeter
- Durham University
- University of Cambridge;
- City St George’s, University of London
- King's College London
- King's College London;
- Manchester Metropolitan University;
- Newcastle University
- The University of Manchester
- University of Bedfordshire
- University of Sussex
- University of Warwick
- 3 more »
- « less
-
Field
-
directly with speaker communities to ensure the technology is genuinely useful to them. You will gain deep expertise in machine learning and natural language processing, access to high-performance computing
-
spectral analysis, entropy-based metrics, graph representations of cardiac conduction, and supervised, unsupervised, and deep learning approaches for classification of abnormal electrical activity within
-
. There is also a need for accounting noise in Deep Learning models and quantifying uncertainty in real-world applications. This PhD studentship (scholarship) leverages large-scale Earth Observation data
-
research. The ideal candidate will have a strong foundation in Python programming and hands-on experience with deep learning frameworks such as TensorFlow or PyTorch. Applicants with a background in Natural
-
ill-prepared to prevent, respond, or address deep, long-lasting impacts. In a world facing proliferating conflicts, the Leverhulme Centre for Research on Slavery in War (LCRSW) is the first overarching
-
will work with deep learning, affective computing, multimodal signal processing, graph neural networks, hypernetworks, temporal modelling and responsible AI. Expected outputs include personalised
-
be a game changer. Deep learning models can learn the mapping between material states and ultrasonic responses from simulation data, delivering quantitative predictions once trained, and remarkably
-
centres, we provide an unparalleled learning environment for its 24,000 students and 13,000 staff. At Cambridge, our mission is to contribute to society through world-class education, learning, and research
-
at the forefront of groundbreaking discoveries, shaping global knowledge across diverse fields. At Cambridge, our mission is to contribute to society through world-class education, learning, and research. With a
-
of video and low-cost sensor technologies to capture subtle movement patterns, creating a rich dataset for AI-driven analysis. Machine learning, deep learning, computer vision and multimodal AI methods will