Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- AALTO UNIVERSITY
- University of Nottingham
- Loughborough University
- Loughborough University;
- University of Bristol
- 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
- The University of Edinburgh;
- University of Birmingham;
- University of East Anglia
- University of Newcastle
- University of Nottingham;
- University of Oxford
- University of Sheffield
- 13 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
-
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
-
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
-
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
-
) 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
-
Programming Intelligent Modelling and Analysis Mixed Reality Lab Lab for Uncertainty in Data and Decision Making Visualisation and Computer Graphics Responsible Digital Futures The studentships available
-
Computer Science, Mathematics, or related areas. • Strong background in at least one of the following: formal methods, SMT solving, abstract interpretation, or model checking. • Experience with verification tools
-
maximum of ONE student per project. This process will ensure an excellent fit of student to project and also an excellent strategic fit of the project within the faculty. Project titles: Bayesian methods
-
primary research aim will be to explore how the geometry of data can help build better uncertainty-quantifying models, particularly for complex data types like molecules and images. However, other research
-
of neuronal cell models using genetic (lentiviruses) and pharmacological tools, working with patient derived stem cells and advanced microscopy techniques. We invite passionate and motivated individuals to join