Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- ;
- University of Nottingham
- ; Swansea University
- University of Cambridge
- ; University of Birmingham
- University of Sheffield
- ; The University of Manchester
- ; University of Southampton
- ; University of Nottingham
- ; University of Surrey
- The University of Manchester
- AALTO UNIVERSITY
- University of Newcastle
- ; City St George’s, University of London
- ; Cranfield University
- ; Newcastle University
- ; The University of Edinburgh
- ; University of Exeter
- ; University of Warwick
- University of Oxford
- ; Loughborough University
- ; University of Oxford
- Imperial College London
- Newcastle University
- University of Bristol
- University of Exeter
- University of Warwick
- ; Brunel University London
- ; University of Bristol
- ; University of Cambridge
- ; University of East Anglia
- ; University of Sheffield
- ; University of Strathclyde
- Harper Adams University
- KINGS COLLEGE LONDON
- The University of Manchester;
- UCL
- University of Glasgow
- ; Aston University
- ; Coventry University Group
- ; Durham University
- ; Imperial College London
- ; Manchester Metropolitan University
- ; St George's, University of London
- ; University of Greenwich
- ; University of Plymouth
- ; University of Reading
- Abertay University
- Coventry University Group;
- King's College London;
- Loughborough University
- Manchester Metropolitan University
- Nature Careers
- The University of Edinburgh
- The University of Edinburgh;
- UNIVERSITY OF VIENNA
- UWE, Bristol
- University of Birmingham
- University of Cambridge;
- University of Greenwich
- University of Liverpool
- University of London
- University of Nottingham;
- University of Sheffield;
- University of Strathclyde;
- University of Surrey
- University of Warwick;
- 58 more »
- « less
-
Field
-
diseases, but is frequently misunderstood, forgotten, and missed. As a toxic proteinopathy that leads to progressive fibrosis, it offers a powerful model for studying common pathways in CKD and represents a
-
used to measure motion and deformation. It provides comprehensive full-field deformation data, essential for analysing complex materials, structures and model validation. The DIC community has developed
-
complex metal structures. This opportunity is centred around improving manufacturing productivity with advanced laser-matter interactions control and optimisation. The PhD will advance our comprehension
-
substrate, enabling the layer-by-layer construction of complex 3D objects. The temperature field created by the interaction between the electric arc and the material is a critical factor influencing the
-
this fundamental challenge, the PhD candidate will be part of a wider team to establish methodological framework, combing utilisation of controlled tree growth test, thermodynamic modelling and advanced optical
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
intelligent reasoning and feedback mechanisms into digital twin environments, enabling them to interpret complex maintenance data more effectively. Using AI techniques, such as large language models, knowledge
-
: this provides capability for accurate and fast modelling of urban drainage, handling the full complexity of flow paths on impermeable surfaces, green space, buildings, pipe networks and BGI features
-
the potential to accelerate materials design and optimization. By leveraging large datasets and complex algorithms, ML models can uncover intricate relationships between composition, processing parameters, and
-
the analysis of the complex data and cellular models (Big Data and Kavli Institutes). The DPhil will provide the student with multidisciplinary skills including specialized training in bioinformatics, genetic
-
, as well as for their babies. You will work with large, complex datasets from national surveys and routinely collected health data to support impactful research. You will manage your own research