Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- KINGS COLLEGE LONDON
- ;
- University of London
- University of Oxford;
- King's College London
- The University of Edinburgh;
- UNIVERSITY OF VIENNA
- AALTO UNIVERSITY
- Aston University
- Durham University
- Heriot Watt University
- Heriot-Watt University;
- Imperial College London;
- King's College London;
- Medical Research Council
- Northumbria University;
- University of Cambridge
- University of Dundee;
- University of Newcastle
- 10 more »
- « less
-
Field
-
application of conditional diffusion models, flow matching techniques, or related generative approaches, as well as experience working with probabilistic (Bayesian) methods and statistical modelling. Strong
-
well as experience working with probabilistic (Bayesian) methods and statistical modelling. Strong writing and programming skills are essential. A proven record of publishing in high-quality journals and presenting
-
methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon
-
) Experience in the use of neuroimaging analysis (fMRI, MRI) to study mechanisms of brain function Previous experience of using Bayesian methods in both model development and fitting. Previous experience and
-
to identify shared genetic regulation with common, complex diseases to discover new drug targets, indications and disease mechanisms. We have a keen interest in training the next generation of scientists
-
use computational approaches to mine natural biodiversity in gene sequences to identify engineering targets to increase lipid content and enhance the water use efficiency. The project will make use
-
biotechnological routes that transform waste polymers into target molecules for the nutrition and healthcare industries, collaborating with leading researchers in the UK and Singapore to deliver next-generation
-
techniques from statistical physics, Bayesian inference, and complex systems theory to address challenges posed by noisy and incomplete data. Depending on the results obtained in the first year, the post can
-
(e.g. Python, R) Experience in the use of neuroimaging analysis (fMRI, MRI) to study mechanisms of brain function Previous experience of using Bayesian methods in both model development and fitting
-
of using Bayesian methods in both model development and fitting. Previous experience and knowledge of research methods and study design in clinical trials. Knowledge of Good Clinical Practice (GCP) in