Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; The University of Manchester
- University of Nottingham
- ; Swansea University
- ; University of Birmingham
- ; University of Warwick
- University of Cambridge
- University of Sheffield
- ; University of Nottingham
- ; University of Southampton
- ; Newcastle University
- ; University of Surrey
- ; Cranfield University
- ; City St George’s, University of London
- ; Loughborough University
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Leeds
- ; University of Sheffield
- Imperial College London
- ; Aston University
- ; University of Exeter
- ; University of Oxford
- ; University of Sussex
- AALTO UNIVERSITY
- University of Newcastle
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Strathclyde
- Harper Adams University
- ; Brunel University London
- ; Coventry University Group
- ; University of Cambridge
- ; University of East Anglia
- ; University of Greenwich
- ; University of Plymouth
- ; University of Reading
- Abertay University
- University of Oxford
- ; Durham University
- ; Edge Hill University
- ; Imperial College London
- ; King's College London
- ; London South Bank University
- ; Manchester Metropolitan University
- ; Royal Northern College of Music
- ; St George's, University of London
- ; University of Bradford
- ; University of Portsmouth
- Aston University
- Heriot Watt University
- University of East London
- University of Liverpool
- 43 more »
- « less
-
Field
-
uncertainty and dynamic conditions. In complex electronic systems, ensuring reliability and minimizing downtime are critical challenges. AI-driven fault diagnosis and self-healing electronics offer innovative
-
computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
-
models with a practical experimental platform. FTE: 1 (35 hours/week) Term: Fixed (18 months) The Centre for Ultrasonic Engineering (CUE) group of the Institute for Sensors, Signals and Communications
-
reliability and operational efficiency. Determining the optimal size and location of PSTs within a network is inherently complex due to the nonlinear and dynamic nature of power systems, necessitating the use
-
to the complexity of the mathematical models that describe them. The current consensus is that there are three “types” of viscoelastic chaos: modified Newtonian turbulence, elastic turbulence, and elasto-inertial
-
. A non-deterministic AI machine learning model for the identical task would not offer this demonstrability or, critically, the repeatability of classical algorithm-based systems. Furthermore, there is
-
computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
-
coalitions for delivering reliable, low-carbon energy services. Collaborating closely with UK Power Networks, SSE Energy Solutions, and the University of East London, you will develop robust economic Model
-
About the Role Join a multi-disciplinary team that explores human intestinal development and disease using cutting edge single cell and spatial biology technologies, organoid models and
-
: Investigating how functional motifs are encoded in HS chains and how they influence their biological activity. Using gastruloids as a model system with which to study GAG structure/function relationships