Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Loughborough University;
- Newcastle University
- Cranfield University
- Loughborough University
- The University of Manchester
- University of Exeter;
- ;
- AALTO UNIVERSITY
- UCL
- University of Birmingham
- The University of Edinburgh
- The University of Edinburgh;
- UNIVERSITY OF VIENNA
- University of Cambridge
- University of Cambridge;
- University of East Anglia;
- University of Exeter
- University of Manchester
- Abertay University
- City St George’s, University of London
- Cranfield University;
- Newcastle University;
- Oxford Brookes University
- Royal College of Art;
- University of Birmingham;
- University of Newcastle
- 16 more »
- « less
-
Field
-
. This probabilistic approach reflects the uncertainty and variability of geological systems, providing, in addition, a measure of confidence. (4) Calibration Ai architecture. The final component develops a calibration
-
Applications are invited for a PhD studentship in the Department of Computer Science at City, University of London. The successful candidate will work on Agentic Artificial Intelligence—the next
-
early risk identification. This PhD project aims to design and develop personalised 3D-printed insoles with enhanced offloading performance and integrated sensing capability. The work will explore novel
-
This is a four-year (1+3 MRes/PhD) studentship funded through the Cambridge EPSRC Centre for Doctoral Training in Future Infrastructure and Built Environment: Unlocking Net Zero (FIBE3 CDT). Further
-
to guide conservation under accelerating climate change. This PhD project will therefore integrate climate data with physiological and behavioural systems, by creating a digital twin framework that
-
Almost all radar systems currently transmit from the same location. A drastic departure from this sensing architecture is distributed radar – enacted by a coherent network of spatially distributed
-
, excellent chemical resistance, and tuneable microstructure. Combined with the design freedom of 3D printing, we have the opportunity to design new membranes whose microstructure and macro-architecture work
-
PhD studentship: Adaptive Logic-Based Machine Learning Grids Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Additional project costs
-
question, but which also provide ways for insights from these engagements to feed into innovation processes on an ongoing basis. This PhD project will develop and evaluate an approach for mapping diverse
-
an adaptable Machine Learning (ML) hardware architecture to solve Artificial Intelligence (AI) classification tasks using Internet of Things (IoT) sensor data. This will be a small system-on-chip designed