Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- ; The University of Manchester
- ; University of Exeter
- UNIVERSITY OF VIENNA
- University of Cambridge
- University of Newcastle
- University of Sheffield
- ; Newcastle University
- ; The University of Edinburgh
- ; University of Birmingham
- ; University of Nottingham
- ; University of Southampton
- KINGS COLLEGE LONDON
- The University of Manchester;
- University of Exeter
- ; Brunel University London
- ; Cranfield University
- ; King's College London
- ; Loughborough University
- ; St George's, University of London
- ; University of Bristol
- ; University of Cambridge
- ; University of Oxford
- ; University of Plymouth
- ; University of Surrey
- ; University of Warwick
- AALTO UNIVERSITY
- Abertay University
- Coventry University Group;
- Durham University
- Imperial College London
- King's College London;
- Newcastle University
- The University of Edinburgh
- The University of Manchester
- UCL
- University of Birmingham
- University of Cambridge;
- University of Nottingham;
- University of Oxford
- 33 more »
- « less
-
Field
-
effusive and explosive activity. This PhD studentship is part of the NERC Large grant ‘Ex-X - Expecting the unexpected- Understanding Dangerous volcanic transitions’, and will study both historical and
-
As part of the Restoration Ecology and Dynamics (READY) Doctoral Focal Award, we invite applications to the following PhD project: Assessing and enhancing functional biodiversity in solar parks and
-
PhD Studentship: Revolutionising Litz Wire Development for Next Generation Ultra-High Speed Propulsion Motors The Manufacturing Technology Centre UK, and University of Nottingham This project offers
-
PhD Studentship: Carbon Nanotube (CNT) Winding Development for Electric Motors The Manufacturing Technology Centre UK, and University of Nottingham This project offers an exciting opportunity
-
-impact questions in environmental economics and labour economics. Key responsibilities for this role includes: Data collection, cleaning, and merging from very large-scale microdata sources (e.g., terabyte
-
opportunity for a motivated scientist to unpick the impact of host factors on tumour structure. To lead this research as a doctoral student you will be passionate about using large-scale data to address
-
, breaking etc. This makes traditional methods particularly difficult to generalise based on all these driving factors, whereas this PhD project takes a novel and explainable data-driven approach – equation
-
protocols for electrical biasing of samples in the microscope. A key task is to process and analyse large 4D-STEM data sets and extract information about domain wall structure and dynamics. The role involves
-
will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show challenging properties of uncertainty, irregularity and
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
predictive and explainable digital twins. The core challenge this PhD will tackle is how to help digital twins make sense of complex, messy maintenance data and turn it into clear, useful insights