Sort by
Refine Your Search
-
Listed
-
Employer
- KINGS COLLEGE LONDON
- ;
- University of Oxford
- King's College London
- Heriot Watt University
- AALTO UNIVERSITY
- UNIVERSITY OF VIENNA
- University of Cambridge
- University of London
- Durham University
- Swansea University
- ; Technical University of Denmark
- Aston University
- DURHAM UNIVERSITY
- Imperial College London
- Liverpool John Moores University
- Loughborough University
- University of Liverpool
- 8 more »
- « less
-
Field
-
, and what intervention has the prospect of get them to a better position. A model is needed into which to feed critical information and retrieve cause/effect insights on which to base logical decisions
-
within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and
-
trapping or fluorescence microscopy to study DNA replication; • develop and employ simulations and data analysis routines to analyze your data; • develop an interdisciplinary skillset by
-
-vis and EPR spectroscopies, magnetometry, cyclic voltammetry). Some experience in characterising paramagnetic compounds, modelling organometallic mechanisms, as well as basic density functional theory
-
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
-
experimental design (active learning) • Combining models and combining data / Realistic simulation of clinical trials • Developing LLMs to utilise ODEs and ProbML as tools; Code synthesis
-
better position. A model is needed into which to feed critical information and retrieve cause/effect insights on which to base logical decisions. Biological information cuts across diagnostic boundaries
-
models to assess the environmental impacts of bio-based products and systems using software tools such as OpenLCA. Analyze complex datasets to identify key areas for improvement in environmental
-
responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal
-
responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal