Applied Mathematics (neural engineering) PhD Projects, Programmes & Scholarships

We have 7 Applied Mathematics (neural engineering) PhD Projects, Programmes & Scholarships

Machine Learning and Domain Decomposition methods for Fluid Dynamics

Kingston University Faculty of Engineering, Computing and the Environment

Modelling of many modern applications leads to linear systems whose size is too large to allow the use of direct solvers. Thus, parallel solvers are becoming increasingly important in scientific computing. Read more

Supervisors: Dr M Bosy, Dr G Hunter

Year round applications PhD Research Project Self-Funded PhD Students Only

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Robust Computational Methods for High-Dimensional Imaging

Heriot-Watt University School of Engineering & Physical Sciences

This project aims to develop new computational algorithms to optimize the acquisition and processing of single-photon data and enable fast imaging in extreme conditions using statistical and learning based approaches. The project is funded for 3.5 years for international students and a ~£17K annual stipend. Read more

Supervisors: Dr A Halimi, Prof S McLaughlin

Year round applications PhD Research Project Funded PhD Project (Students Worldwide)

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Connections between Numerical Analysis of Differential Equations and Machine Learning

The University of Manchester Department of Mathematics

Up to two funded PhD projects are available in the Department of Mathematics at the University of Manchester on Connections between Numerical Analysis of Differential Equations and Machine Learning. Read more

Supervisor: Dr C Powell

Year round applications PhD Research Project Funded PhD Project (UK Students Only)

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Using machine learning to predict cell-type specific effects of genetic variants which influence genome regulation

Imperial College London Department of Brain Sciences

UK Dementia Research Institute (UK DRI) Centre at Imperial. PhD Studentship in Machine Learning for Genomics. Imperial College London, White City Campus, London, UK. Read more

Supervisor: Dr N Skene

Year round applications PhD Research Project Funded PhD Project (UK Students Only)

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Using machine learning to predict cell-type specific effects of genetic variants which influence genome regulation

Imperial College London Department of Brain Sciences

UK Dementia Research Institute (UK DRI) Centre at Imperial. PhD Studentship in Machine Learning for Genomics. Imperial College London, White City Campus, London, UK. Read more

Supervisor: Dr N Skene

Year round applications PhD Research Project Self-Funded PhD Students Only

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Mathematical Machine Learning for Molecular Modeling

University of Birmingham School of Mathematics

Project description. This PhD project aims to develop Machine Learning methods for Molecular Modeling with a particular focus on aspects relevant to dynamics preserving coarse-graining strategies. Read more

Supervisor: Dr M Sachs

Year round applications PhD Research Project Competition Funded PhD Project (Students Worldwide)

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Enhanced Deep Learning via Optimisation in Computational Imaging

Heriot-Watt University School of Engineering & Physical Sciences

Context. The project will be co-supervised at Heriot-Watt University (Edinburgh, UK), and CentraleSupélec (University Paris-Saclay, France). Read more

Supervisors: Dr A Repetti, Prof JCP Pesquet

Year round applications PhD Research Project Funded PhD Project (European/UK Students Only)

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We have 7 Applied Mathematics (neural engineering) PhD Projects, Programmes & Scholarships

Applied Mathematics (neural engineering) PhD Projects, Programmes & Scholarships

We have 7 Applied Mathematics (neural engineering) PhD Projects, Programmes & Scholarships

Machine Learning and Domain Decomposition methods for Fluid Dynamics

Robust Computational Methods for High-Dimensional Imaging

Connections between Numerical Analysis of Differential Equations and Machine Learning

Using machine learning to predict cell-type specific effects of genetic variants which influence genome regulation

Using machine learning to predict cell-type specific effects of genetic variants which influence genome regulation

Mathematical Machine Learning for Molecular Modeling

Enhanced Deep Learning via Optimisation in Computational Imaging

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