Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- AALTO UNIVERSITY
- Loughborough University
- Loughborough University;
- University of Bristol
- University of Nottingham
- Durham University;
- Edinburgh Napier University;
- The University of Manchester
- University of Birmingham
- ; Swansea University
- European Magnetism Association EMA
- KINGS COLLEGE LONDON
- Newcastle University
- Oxford Brookes University
- The University of Edinburgh;
- University of Birmingham;
- University of Bradford;
- University of East Anglia
- University of Newcastle
- University of Nottingham;
- University of Oxford
- University of Sheffield
- 12 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
-
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
-
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
-
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
-
-of-the-art flume laboratory, use advanced CAESAR-Lisflood models to simulate entire catchments, and deploy field monitoring equipment to measure potential flood reduction or amplification. This project offers
-
of contaminated soils on soil strength and erosion control. Developing a Model for the Adoption of Agentic AI in Facilities Management: Enabling Autonomous Decision-Making for Sustainable Built Environments
-
Software Development: Building the Next-Generation Trust Maturity Model Integrating DevOps practices into ML-driven systems: A Framework and Maturity Model for Continuous Machine Learning Development