Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- ; The University of Manchester
- ; University of Birmingham
- University of Sheffield
- ; University of Southampton
- ; University of Surrey
- ; Newcastle University
- ; University of Nottingham
- University of Cambridge
- ; The University of Edinburgh
- ; University of Exeter
- ; City St George’s, University of London
- ; Cranfield University
- ; University of Warwick
- AALTO UNIVERSITY
- University of Newcastle
- ; Loughborough University
- ; University of Bristol
- ; University of Leeds
- ; University of Sheffield
- Imperial College London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Oxford
- ; University of Strathclyde
- The University of Manchester
- University of Oxford
- ; Brunel University London
- ; University of Cambridge
- ; University of East Anglia
- Abertay University
- Aston University
- Harper Adams University
- Newcastle University
- University of Birmingham
- University of Bristol
- University of Warwick
- ; Aston University
- ; Coventry University Group
- ; Durham University
- ; Edge Hill University
- ; Imperial College London
- ; King's College London
- ; Manchester Metropolitan University
- ; Royal Northern College of Music
- ; St George's, University of London
- ; University of Greenwich
- ; University of Plymouth
- ; University of Reading
- ; University of Sussex
- King's College London
- Manchester Metropolitan University
- UCL
- UNIVERSITY OF VIENNA
- University of Cambridge;
- University of Glasgow
- University of Greenwich
- University of Liverpool
- University of London
- University of Nottingham;
- 52 more »
- « less
-
Field
-
, structural equation modelling, visualisation, preferably in R Competences in quantitative research methods – ideally knowledge of several of the following aspects of quantitative data analysis: experimental
-
equations into AI-based models to solve fluid sensing problems in a robust and efficient manner. Your role may include developing new optimization techniques, coding new algorithms, creating new mathematical
-
-material capability with a suitable closure model; (2) improved strategy for interface tracking/capturing; (3) very high-speed scenarios with use of nonlinear Riemann-solvers. If time allows exploratory 3D
-
written and verbal communication skills and the ability to communicate complex information and collaborate effectively with varied stakeholders (E) Awareness of and sensitivity to needs of research
-
, which are essential for safe operation in these challenging aerospace environments. You will develop robust, physics-based models to analyse failure, with a focus on understanding mechanical and
-
; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 3 months ago
to collaborate with experts from diverse fields including engineering, environmental science, policy studies, and business to address complex decarbonisation challenges. A life cycle based approach may be taken
-
, and 2) to develop a physical model of cell shape dynamics during EMT. You should hold a PhD (or about to be awarded a PhD) in Biophysics or a related field and have extensive experience with cell and
-
identifying a novel biomarker for early decline in the heart-brain-axis, this study aims to explore the effect of alpha-synucleinopathy in heart and stellate ganglia. Using a PD animal model with a neuronal
-
of work as a case study, this PhD will contribute new knowledge to the fields of archival and performance research, generating a model of practice that can be utilised by other artists. Structured over
-
characteristics might explain these differences? MS is a complex disease, with damage to the brain and nervous system that varies widely between individuals. This PhD project offers an opportunity to investigate