Sort by
Refine Your Search
-
Support”, through analysis of MR Diffusion Weighted Imaging and MR Spectroscopy and leading other members of the wider team Specific aims of the project To prospectively evaluate non-invasive pre-surgical
-
treatment and reducing brain injuries Modern MRI scans tell us about a tumour’s biology. Through advanced computing (radiomics), it is possible to extract much more information from MRI images than is visible
-
biology, ideally having studied lubrication biology in the joint Experience in molecular biology, computational immunology, bioinformatics and multi-dimensional imaging including light-sheet and 3D tissue
-
, genomic, imaging and digital pathology data for colorectal and other cancers. You'll collaborate with cloud and software engineering teams and the e-health hub team to implement OMOP/OHDSI-compliant
-
characterisations and advanced characterisations such as X-ray, electron, and neutron scattering and imaging experiments. You will undertake independent and collaborative research and will be expected to write up
-
medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and astrostatistics. These posts
-
circumstances and is a postdoctoral role under SOC code 2119. The University of Stirling recognises that a diverse workforce benefits and enriches the work, learning and research experiences of the entire campus
-
are included but clinical medical themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data
-
themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
-
themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML