Sort by
Refine Your Search
-
Package 1 of the Wellcome MHA). The post-holder will lead on fMRI data collection and analysis of neuroimaging data, which will support the examination of brain-based changes underlying therapeutic effects
-
to answer pressing biological questions across development, cancer and immunology. We work shoulder-to-shoulder with biologists, clinicians, engineers and data scientists, providing an exceptionally
-
well as MSc and PhD programmes. Further information may be found at: http://www.kcl.ac.uk/physics About the role We are seeking to fill a position of Postdoctoral Research Associate, working in close
-
representation, knowledge engineering, linked data. About the role The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out
-
women's health. We also have thriving research programmes in global health, and health and social care. Further information about the Faculty of Life Sciences and Medicine may be found at https
-
of liver micrometastases development in cancer, based on a novel MRI approach which combines multi-dimensional diffusion-relaxometry acquisitions, efficient data denoising and biophysical modelling
-
document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and
-
of liver micrometastases development in cancer, based on a novel MRI approach which combines multi-dimensional diffusion-relaxometry acquisitions, efficient data denoising and biophysical modelling
-
role in the delivery of a high-profile and innovative research project funded by NHS England. The LeDeR programme aims to analyse mortality data collected nationally and conduct deep dives in specific
-
cytometry will be an advantage. The project has a major computational component both for AI-driven modelling and predictions, and for bioinformatics analyses of wet-lab data. This will be performed by