Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Nottingham
- AALTO UNIVERSITY
- The University of Edinburgh
- Loughborough University
- Loughborough University;
- The University of Edinburgh;
- Durham University;
- Edinburgh Napier University;
- The University of Manchester
- University of Birmingham;
- University of Bradford;
- ;
- European Magnetism Association EMA
- KINGS COLLEGE LONDON
- Manchester Metropolitan University
- Newcastle University
- Oxford Brookes University
- Swansea University
- University of Birmingham
- University of Cambridge;
- University of East Anglia
- University of Exeter
- University of Nottingham;
- University of Oxford
- University of Sheffield
- University of Surrey
- 16 more »
- « less
-
Field
-
an objective and consistent method of measurement. The implication of this is a mechanism through which customer and supplier can agree on model quality. Furthermore, the outcome will inform the development
-
of pseudorange correction models. Enforcing such constraints offers substantial potential benefits, including faster convergence, improved generalisation, and reduced overfitting. At the same time, these benefits
-
predictive checking, model comparison) • Computational modelling with Python and Dynesty, JAX, NumPyro, and PyTorch • Use of asteroseismic and spectroscopic survey data (e.g. PLATO, Gaia, APOGEE, TESS) • High
-
models remain limited to the world of standard dynamic range (SDR). This project seeks to bridge that divide, unifying methods and technologies designed for both SDR and HDR content-spanning still images
-
developmental incompetence and importantly, fertilised mutant oocytes generate abnormal single-pronucleus zygotes, a phenotype we recently showed is likely conserved in human. Thus, our animal model provides
-
alterations that relate to CHI and principally evaluate their fit as biomarkers for CHI diagnostics. This project will provide training in gene editing, iPSC technologies, and complex cell models with a focus
-
are conserved across species, including in the mouse, making the aged mouse model a useful means to understand and identify the molecular mechanisms that drive this process (doi: 10.1038/s41586-024-07238-x
-
) develop novel performance metrics combining accuracy and explainability, to be tested across different AI model types; (2) devise new algorithms for selecting models optimised for holistic performance
-
from the fetal MRI scans. Additionally, mesh modelling techniques will be developed to create 3D Finite Element (FE) mesh models from the segmented fetal and maternal anatomy. These FE models will then
-
receive a generous tax-free annual stipend of £25,000, full-time home tuition fees paid, and £2,000 per year for consumables and travel. Funding from MTC requires passing their security checks before