Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- ; Swansea University
- University of Cambridge
- ; University of Birmingham
- ; University of Reading
- University of Newcastle
- Imperial College London
- ; Brunel University London
- ; Newcastle University
- ; University of Exeter
- ; University of Nottingham
- ; University of Sheffield
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Bradford
- ; University of Cambridge
- ; University of Leeds
- ; University of Oxford
- ; University of Plymouth
- ; University of Southampton
- ; University of Warwick
- Abertay University
- Harper Adams University
- University of Oxford
- ; Aston University
- ; City St George’s, University of London
- ; Cranfield University
- ; Durham University
- ; King's College London
- ; Loughborough University
- ; Manchester Metropolitan University
- ; Midlands Graduate School Doctoral Training Partnership
- ; St George's, University of London
- ; University of Bristol
- ; University of East Anglia
- ; University of Essex
- ; University of Kent
- ; University of Stirling
- ; University of Strathclyde
- ; University of Surrey
- ; University of Sussex
- Aston University
- Brunel University
- Heriot Watt University
- KINGS COLLEGE LONDON
- UNIVERSITY OF VIENNA
- University of East London
- University of Leicester
- Utrecht University
- 41 more »
- « less
-
Field
-
rheology, functional ingredients. Experience of data handling and statistical analysis. Track record of scientific writing (for career stage), with publications in peer-reviewed scientific journals
-
. The system will leverage cutting-edge techniques in Natural Language Processing (NLP), Machine Learning (ML), and Multimodal Analysis to conduct adaptive interviews, assess candidate responses, and generate
-
. The student will perform ‘big data’ analysis of patient cohorts including time-based evaluation of the impact of introducing CT-FFR as a national health intervention into a healthcare system. Exploratory
-
to the analysis of time series. In particular, the project 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
-
Failure Analysis of Composite Sleeves for Surface Permanent Magnet Electrical Machines This exciting opportunity is based within the Power Electronics, Machines and Control (PEMC) and Composites
-
synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application to the analysis of time series. In particular, the project
-
with a surface. This project will involve using and further developing both the experimental and data analysis methods that are currently used within the research team. The student will learn how to use
-
year. Working at the intersection of water engineering, environmental microbiology, robotics, and lifecycle analysis, you will evaluate autonomous underwater skimming robots that minimise energy use in
-
the combined themes of human-computer interaction and critical computing. The lab will be exploring the notion of "deceptive by design" on all fronts: social identity cues in the design of LLM-based chatbots
-
spin-burst experiments, will complement advanced finite element analysis (FEA) in evaluating failure behaviour. Who we are looking for An enthusiastic, self-motivated, and resourceful candidate with a