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We have 25 Computer Science PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in York

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Computer Science

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York  United Kingdom

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Computer Science PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in York

We have 25 Computer Science PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in York

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Research opportunities in Computer Science

Our Department of Computer Science has a strong international reputation for conducting research that has real impact, tackles fundamental questions and addresses interdisciplinary problems which face today's computer scientists. Read more

Optimisation surface characterisation

Many projects in Engineering and Computer Science involve global multivariate optimisation. Classical methods include genetic algorithms, simulated annealing and particle filters. Read more

Machine Learning for classifying and characterising living cell cultures

In collaboration with the Department of Biology at the University of York and the Department of Computer Science at the University of Sheffield, programmable agent-based computational models have been developed to help interpret how populations of cells arise and repair from individual cell:cell interactions. Read more

Artificial Intelligence based Electric Vehicle Motor Design

Electric vehicle development has been a hot topic around the world. This PhD programme will develop artificial intelligence based computational tools to accelerate electric vehicle motor design and optimization process. Read more

Liquid Transistors: Real-time Probabilistic Computing with Non-linear Analogue Components

"Perfection has always been expensive". An area where this is certainly true, and is rapidly becoming more so, is electronic systems design where the goal is to perform useful, stable computation. Read more

Industry-funded PhD Studentship with Exscientia in Structural Bioinformatics

Many viruses, including major human pathogens, encode virus assembly instructions in their genomes. This “assembly code” consists of multiple dispersed sequence/structure motifs called packaging signals, that play key roles in efficient particle formation. Read more

Evolving the adjacent possible for engineering design

The power of natural evolution is all around us in the major branches of life that fill our world, underpinned by a genetic code that describes all creatures from bacteria to bananas to baboons. Read more

Hybrid description methods for human faces

The group has pioneered the application of conditional probability density estimation to describing human faces. Our methods allow a system to estimate the age, sex, race and facial expression of people in a real-time video sequence. Read more

AI and Machine Learning for the diagnosis and monitoring of Parkinson’s and Alzheimer’s disease

The School has long-standing research collaborations with hospitals and medical centres worldwide developing new approaches to the diagnosis and monitoring of neurological conditions, including Parkinson’s and Alzheimer’s. Read more

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