Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; University of Warwick
- ; The University of Manchester
- University of Nottingham
- ; University of Exeter
- ; University of Nottingham
- ; University of Birmingham
- ; University of Leeds
- ; University of Surrey
- University of Cambridge
- ; The University of Edinburgh
- ; University of Reading
- ; University of Sheffield
- ; Cranfield University
- ; Loughborough University
- ; Manchester Metropolitan University
- ; Newcastle University
- ; UWE, Bristol
- ; University of East Anglia
- ; University of Oxford
- ; University of Southampton
- ; University of Sussex
- University of Sheffield
- ; Anglia Ruskin University
- ; Aston University
- ; Austrian Academy of Sciences
- ; City St George’s, University of London
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Midlands Graduate School Doctoral Training Partnership
- ; Queen Mary University of London
- ; Swansea University
- ; University of Bristol
- ; University of Greenwich
- ; University of Plymouth
- ; University of Strathclyde
- Imperial College London
- Newcastle University
- University of Birmingham
- University of Exeter
- University of Glasgow
- University of Liverpool
- University of Newcastle
- University of Oxford
- 35 more »
- « less
-
Field
-
machine-learning surrogate models capable of delivering near-DFT (density functional theory) accuracy in just a few CPU seconds per structure. This approach will enable the high-throughput screening of tens
-
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
-
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
-
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 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
-
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
-
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
-
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
-
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