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We have 19 University of Bristol Computer Science PhD Projects, Programmes & Scholarships

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University of Bristol

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University of Bristol Computer Science PhD Projects, Programmes & Scholarships

We have 19 University of Bristol Computer Science PhD Projects, Programmes & Scholarships

Discovering off-target side-effects and drug repurposing candidates using expression perturbation data

The MRC Integrative Epidemiology Unit at the University of Bristol is the leading group for the development and application of causal analysis and evidence triangulation in health research to improve lives. Read more

Machine Learning for 4D Egocentric Video Understanding

The project. Applications are invited for a fully funded PhD studentships in Computer Vision and Machine Learning on the topic of 4D Video Understanding for footage from Egocentric Cameras of unscripted daily activities. Read more

Probabilistic AI (ProbAI Hub)

The ProbAI Hub is a £8.5M research hub funded by EPSRC to develop better understanding of and new methods in AI. This will be achieved by research at the interface of AI and Mathematics. Read more

4-year PhD Studentship: Towards Accurate Disease Surveillance: Deep Learning-Assisted Simulation of Bacterial Genomes

Public health surveillance programmes routinely collect vast amounts of pathogen genomics data each year. A pressing issue is how to best utilise this information for effective disease monitoring and management. Read more

4-year PhD Studentship: Multiscale comparative analysis of habitat selection by large carnivores in northern Botswana

About 38% of Botswana’s land area is reserved for wildlife conservation (Winterbach et al., 2014), providing important habitat for large carnivores and allowing for the study of intact large carnivore guilds. Read more

The genetic map of human molecular phenotypes

Rationale. Genome wide associations studies (GWASs) have discovered many genetic associations with a large range of human traits, but the functional consequences of GWAS signals often remain elusive, as most GWAS signals reside in non-coding genomic regions. Read more

Using supermarket loyalty cards data to study reproductive health

Rationale. Shopping history records collected by supermarkets contain population level health information which could be missing from traditional health research data such as medical records. Read more

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