Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; University of East Anglia
- ; The University of Manchester
- ; University of Warwick
- ; Loughborough University
- ; Swansea University
- University of Nottingham
- ; University of Exeter
- ; University of Nottingham
- University of Cambridge
- ; University of Birmingham
- ; University of Leeds
- ; University of Surrey
- ; The University of Edinburgh
- ; University of Plymouth
- ; University of Reading
- ; University of Sheffield
- ; University of Southampton
- Newcastle University
- ; Cranfield University
- ; Manchester Metropolitan University
- ; Newcastle University
- ; University of Oxford
- Swansea University
- University of Exeter
- University of Sheffield
- ; Anglia Ruskin University
- ; Aston University
- ; City St George’s, University of London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; London South Bank University
- ; Midlands Graduate School Doctoral Training Partnership
- ; Queen Mary University of London
- ; UWE, Bristol
- ; University of Bristol
- ; University of Greenwich
- ; University of Hull
- ; University of Strathclyde
- ; University of Sussex
- Aston University
- Imperial College London
- University of Birmingham
- University of Glasgow
- University of Liverpool
- University of Newcastle
- University of Oxford
- 37 more »
- « less
-
Field
-
integrates machine learning and statistics to improve the efficiency and scalability of statistical algorithms. The project will develop innovative techniques to accelerate computational methods in uncertainty
-
at the intersection of machine learning, bioinformatics, and computational pathology. Project Overview: Integrating histopathological imaging with omics (e.g., transcriptomics, genomics, proteomics) holds tremendous
-
This self-funded PhD research project aims to advance the emerging research topics on physics-informed machine learning techniques with the targeted application on predictive maintenance (PdM
-
. This project will rely on recent advances in neural networks to develop machine learning potentials (MLPs) for MD simulations of realistic nanomaterial/coolant-liquids and use these to gain fundamental insights
-
on the broad topic of Machine Learning and Psychophysiological Deception Detection. The studentship is part sponsored by GCHQ and funded for up to 3.5 years with fees and a stipend at the standard UKRI rate
-
This large-scale ecological project investigates the barriers and drivers of post-fire forest recovery. With climate change and the spread of forest fires to new areas, it is important to investigate the conditions that support forest recovery after a fire. The study areas can be defined using...
-
often fail to preserve the fidelity of combined datasets, leading to loss of crucial information. This proposal aligns directly with the CAMS Data Analytics Theme and the Grand Challenge of using machine
-
Research theme: Fluid Mechanics, Machine Learning, Ocean Waves, Ocean Environment, Renewable Energy, Nonlinear Systems How to apply: How many positions: 1 Funding will cover UK tuition fees and tax
-
for greater precision. Machine learning (ML) algorithms will analyse these datasets to deliver a scalable, cost-effective system, validated through field trials and enhanced by contributions from four
-
Engineering (PhD) Eligibility: UK Students Award value: Home fees and tax-free stipend £20,780 - See advert for details Project Title: Machine Learning and Optimisation-Based Intelligent Substation Design in