Characterisation of tissue microstructure from non-invasive MRI using Machine Learning
Characterisation of tissue microstructure from non-invasive MRI using Machine Learning
About the Project The characterisation of biological tissue microstructure in vivo and non-invasively is of outmost interest in science. If successful, it could reveal unique insights into biological processes, including … Read More Read More
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Advanced numerical methods for solving the forward problem in E/MEG
Advanced numerical methods for solving the forward problem in E/MEG
About the Project Electroencephalography (EEG) is a technique that measures the electric potential originating from the brain using electrodes located on the scalp. Its main purpose is to characterise the … Read More Read More
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The semiring of partial transformations: an algebraic and algorithmic approach to modularity
The semiring of partial transformations: an algebraic and algorithmic approach to modularity
About the Project This project will aim to design algorithms to efficiently solve equations in the semiring of partial transformations. This is a theoretical project in an area that combines … Read More Read More
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Frankenstein's Algorithmic Lightning: AI methods for defibrillation
Frankenstein's Algorithmic Lightning: AI methods for defibrillation
About the Project About this project Fibrillation is the state of a heart in which many electrical waves strongly interact and reduce the efficacy of the heart to pump oxygenated … Read More Read More
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Algorithmic aspects of phylogenetic trees and networks
Algorithmic aspects of phylogenetic trees and networks
About the Project The Project: this is an open call for phd students wishing to work in the area of algorithms, complexity and combinatorics related to phylogenetics. The specific topic … Read More Read More
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Graph Colouring
Graph Colouring
About the Project Most optimization problems defined on graphs are computationally hard in general. This holds for the Graph Colouring problem, the problem of assigning a unique colour to each … Read More Read More
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Algorithmic Meta-Classifications
Algorithmic Meta-Classifications
About the Project PhD project at Durham University in Algorithmic Graph Theory The Department of Computer Science of Durham University is inviting applications for a PhD project in Theoretical Computer … Read More Read More
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Modelling and identification of cerebral blood flow control
Modelling and identification of cerebral blood flow control
About the Project Co-Supervisor: Professor David Simpson The project focuses on understanding cerebral blood flow and its physiological control, to improve diagnosis and treatment of brain injuries. The project will … Read More Read More
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Interpretable Models: Bringing Transparency to Deep Learning Decision-Making
Interpretable Models: Bringing Transparency to Deep Learning Decision-Making
About the Project Co-supervisor: Dr Antonia Marcu To trust Deep Learning models in sensitive applications such as autonomous vehicles or healthcare, we need to better understand which information they rely … Read More Read More
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The evolution of written symbolic communication: The autonomous development of visual symbolic systems in artificial agents
The evolution of written symbolic communication: The autonomous development of visual symbolic systems in artificial agents
About the Project Supervisory team: Dr Jonathon Hare, Dr Daniela Mihai Studying written communication protocols emergent between artificial agents (e.g. modelled through Deep Neural Networks) provides fundamental insights into how … Read More Read More
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