Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Birmingham
- University of East Anglia
- University of Exeter;
- University of East Anglia;
- University of Exeter
- Newcastle University
- The University of Manchester
- University of Birmingham;
- Loughborough University
- University of Nottingham
- Imperial College London;
- University of Plymouth
- Loughborough University;
- The University of Manchester;
- University of Cambridge;
- University of Oxford;
- University of Sheffield
- University of Warwick;
- Bangor University
- Brunel University London
- Coventry University Group;
- Edinburgh Napier University;
- European Magnetism Association EMA
- Imperial College London
- King's College London Department of Engineering
- King's College London;
- Manchester Metropolitan University
- Manchester Metropolitan University;
- Newcastle University;
- Swansea University
- Swansea University;
- The Institute of Cancer Research
- The University of Edinburgh
- The University of Edinburgh;
- University of Bradford;
- University of Bristol;
- University of Cambridge
- University of Essex
- University of Essex;
- University of Glasgow
- University of Hull;
- University of Nottingham;
- University of Plymouth;
- University of Sheffield;
- University of Strathclyde;
- 36 more »
- « less
-
Field
-
into quantitative frameworks for prediction of the contribution of An. stephensi to malaria transmission, and optimising surveillance and control for this and other native vector species in urban settings. 2. Build
-
compatibility with traditional composite matrices. Explore complementary computational fluid dynamics-discrete element method (CFD-DEM) simulations as a tool to predict fibre-fluid interactions and inform
-
stresses. Based on the experimental data, a semi-empirical model to be developed to assess insulation degradation and identify failure signatures that can inform future predictive asset management strategies
-
conduct literature reviews, develop models of various types (thermodynamics, data-driven) for predicting the systems performance, emissions, reliability and safety parameters, collect, collate and analyse
-
the optimization-based methods (doi.org/10.1016/j.apenergy.2020.116152 ), 3- Weakness of the model-predictive-control (MPC) against HESS’s parameters uncertainties, noises, and disturbances (doi.org/10.2514/6.2022
-
that can be validated with experiments and bottom-up models at multiple scales in order to predict the macroscopic response. Hence, this research will investigate the degradation of metallic materials under
-
application areas: the simulation of electromagnetic fields in high-speed electrical interconnects in the semiconductor industry; the prediction of the electromagnetic performance of communications devices
-
materials interact with the body. This project addresses that gap by engineering a 3D-printed full-thickness skin model that mimics the aging microenvironment, enabling more predictive evaluation of novel
-
into areas such as AI-driven verification, predictive maintenance, and compliance assurance, aiming to enhance system reliability and safety. Situated within the esteemed IVHM Centre and supported by
-
alliances, deceptive moves, and the need to read subtle cues in conversation. Winning isn’t about calculating a single best move—it’s about thinking several moves ahead, predicting how others will respond