This project will develop and commission the new Trace Halogenated ORganics analyser and archiver (THOr) on the UK large research aircraft (FAAM-146,. Read more
This is an exciting opportunity for a fully funded PhD studentship in the Centre for Autonomous and Cyber-Physical Systems at Cranfield University, to develop an autonomous multi-robot system for fast and long traversal in extreme planetary environments. Read more
Supervisors. This is a joint project between the University of Kent and Butterfly Conservation and the PhD student will be supervised by a team with expertise in Statistics, Statistical Ecology, Citizen Science, and Butterfly Monitoring. Read more
Join us and get a fully-funded PhD scholarship in this EPSRC ICASE collaboration between King’s College London and BT on multimodal knowledge graphs!. Read more
A narrative is any account of a collection of related events telling a story. It can be found in a variety of forms including novel, journalism, music, film, video, speech, performing arts, painting, and sculpture. Read more
Details. Stochastic differential equations (SDEs) are widely used in science and engineering in order to model systems where random effects play a significant role. Read more
Details. Dynamical systems are often solved/integrated by a suitable numerical discretisation method in such a way that certain properties of the underlying systems will be preserved. Read more
Predictive models built with artificial intelligence (AI) methods are powerful tools to discover molecules with the potential to become drugs to treat a given disease. Read more
Time Series appear ubiquitous in sciences and society, including financial time series, time series of disease spreads or time series of key molecules regulating the life and death of cells, animals, and humans. Read more
For a long time, cancer has been largely studied through its genetic alterations. However, we now know that other cell types such as immune cells critically affect tumour progression. Read more
This project aims to develop novel uncertainty methodologies and a software toolkit with uncertainty awareness for radiograph-based disease detection. Read more
This project lies on the intersection of modern machine learning techniques and sequential Monte Carlo methods. Sequential Monte Carlo (SMC) methods, e.g. Read more
*Offer only available for the duration of your active subscription, and subject to change. You MUST claim your prize within 72 hours, if not we will redraw.
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