Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- Newcastle University
- University of Nottingham
- University of Exeter
- Swansea University
- University of East Anglia
- Imperial College London;
- The University of Manchester
- University of Cambridge
- University of Exeter;
- University of Cambridge;
- University of Warwick
- Loughborough University
- UCL
- University of Birmingham;
- University of Sheffield
- Bangor University
- Manchester Metropolitan University;
- The University of Edinburgh
- The University of Edinburgh;
- University of East Anglia;
- University of Leeds
- ;
- AALTO UNIVERSITY
- City St George’s, University of London
- Edinburgh Napier University;
- King's College London
- Loughborough University;
- Manchester Metropolitan University
- Swansea University;
- The University of Manchester;
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of Bradford;
- University of Bristol
- University of Nottingham;
- University of Oxford;
- University of Plymouth
- University of Surrey
- University of Warwick;
- Abertay University
- European Magnetism Association EMA
- KINGS COLLEGE LONDON
- Liverpool John Moores University
- Newcastle University;
- Nottingham Trent University
- Oxford Brookes University
- The Open University;
- UWE, Bristol;
- Ulster University
- University of Bristol;
- University of Essex
- University of Hull;
- University of Liverpool
- University of Liverpool;
- University of Oxford
- University of Plymouth;
- University of Reading;
- University of Sheffield;
- University of Surrey;
- University of York;
- 51 more »
- « less
-
Field
-
, release kinetics under biologically relevant triggers. The successful candidate will work at the interface of organic synthesis, chemical biology, and machine learning to guide linker design and optimise
-
on combining innovative technologies such as remote monitoring, large language models, machine learning, blockchain, and eco-accounting to enhance the efficiency, security, and sustainability of e-bike charging
-
series analyses, (2) Earth or planetary remote sensing, (3) Data science approaches, including statistical methods, handling of large datasets, pipeline development and/or machine learning (4) Full stack
-
Location: Central Cambridge PhD Studentship - Marie Curie network ON-Tract: Protein engineering of enzymes: in vitro directed evolution and machine learning-based elaboration of biocatalysis
-
equations to simulate pollutant transport, mixing and biochemical processes. To enable rapid prediction, a machine-learning surrogate model based on Gaussian process regression will be developed and trained
-
Productivity Index (RPI) using observed versus potential productivity modelled with machine learning (https://doi.org/10.1016/j.ecolind.2025.113208 ), this applied geospatial ecology project will study how
-
EPSRC Centre for Doctoral Training in Diversity in Data Visualization 8 Studentships Available Change what we can see. See what we can change. We are recruiting a new cohort of fully funded PhD
-
prediction, a machine-learning surrogate model based on Gaussian process regression will be developed and trained using datasets generated by the high-fidelity numerical solver. The surrogate will emulate key
-
speed - Provide human experts with a reliable second opinion This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace
-
composites To propagate uncertainty in material behaviour through these models using uncertainty quantification/machine-learning (UQ/ML) algorithms To optimise the manufacturing process with the help