Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Denmark
- Cranfield University
- NTNU - Norwegian University of Science and Technology
- ; The University of Manchester
- Monash University
- ; University of Warwick
- Chalmers University of Technology
- Curtin University
- Forschungszentrum Jülich
- SciLifeLab
- University of Groningen
- Utrecht University
- ; Brunel University London
- ; St George's, University of London
- AALTO UNIVERSITY
- DAAD
- Erasmus University Rotterdam
- Ghent University
- Harper Adams University
- ICN2
- Imperial College London
- KNAW
- Leibniz
- Norwegian Meteorological Institute
- Radboud University
- University of Cambridge
- University of Newcastle
- University of Nottingham
- University of Sheffield
- University of Southern Denmark
- University of Twente
- University of Utah
- Vrije Universiteit Brussel
- Wageningen University and Research Center
- 24 more »
- « less
-
Field
-
modelling capabilities for the prediction of energy extraction efficiency, especially focusing on improving the understanding and prediction of the complex flow phenomena, including buoyancy effects in AGS
-
materials, to aid design of novel more energy-efficient processing routes. The development of these digital twins requires reliable and predictive models for microstructure formation during steel processing
-
. An aortic aneurysm is a bulge in the body’s main artery, the aorta. The bulge can rupture, unfortunately leading to death in more than eighty per cent of cases. It is not currently possible to predict whether
-
to train an AI model that predicts the cis-regulatory code for synthetic genomes (i.e. for cell-free gene expression systems) and correlates the experimental conditions within the synthetic cell
-
for dementia and sector-spanning models of care to improve quality of care and quality of life. Dr Ayton has a strong track record in health and social care research and methodological approaches including
-
state beyond a certain speed. Although predictions of sub-synchronous vibrations with current codes have shown good correlation with experiments under controlled lab conditions, this was only up to a
-
the formation rates or composition of a biominerals from known environmental conditions. This project aims to construct such a model. The ultimate goal is to create a general framework for predicting
-
. Defining predictive tasks based on clinical goals. Selecting and setting up appropriate data preprocessing pipelines. Training and evaluation of computer vision models. Internal and external algorithmic