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We have 87 dataset PhD Projects, Programmes & Scholarships

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dataset PhD Projects, Programmes & Scholarships

We have 87 dataset PhD Projects, Programmes & Scholarships

Metabolomic characterisation of adiposity across the life course

Project Background. There is evidence that adiposity, measured by body mass index (BMI), causally influences a range of health outcomes, but little understanding of the mechanisms driving BMI effects. Read more

Metabolomic characterisation of adiposity across the life course

There is evidence that adiposity, measured by body mass index (BMI), causally influences a range of health outcomes, but little understanding of the mechanisms driving BMI effects. Read more

Bayesian Deep Learning for cosmology with Euclid

This project will focus on the combination of cutting-edge Deep Learning and statistical methods to enable cosmological inference from next-generation facilities such as the European Space Agency’s Euclid mission. 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

Novel diagnostics to assess the impact of turbulent flow in cardiovascular disease

Cardiovascular disease is the leading cause of death worldwide. Recently, turbulence in blood flow has been linked with cardiovascular disease progression, however the underlying turbulence-related mechanisms are not well understood. Read more
Last chance to apply

Imitation Learning for Robotic Manufacturing Transformation

GTA funded PhD studentship in Computing. Highlights. Advance State-of-the-Art in Imitation Learning. Elevate existing imitation learning methodologies (such as GAIL, Q-learning and Meta-learning) to enhance robotic capabilities in complex manufacturing processes. Read more

Investigation of Appropriate Models and Design Strategies for TB household contact studies

Aim 1. To develop a random directed graph model (RDM) suitable for tuberculosis household contact studies. RDM should be adapted to incorporate key epidemiological features of TB, specifically long latency and the fact that only TB cases are infectious. Read more
Last chance to apply

Transforming Air Traffic Control: Sequence Prediction and Modelling with Large Language Models

Location. Computer Science, Streatham Campus, Exeter. The University of Exeter’s Department of Computer Science invites applications for an EPSRC iCASE PhD studentship fully-funded by the EPSRC and NATS to commence in September 2024. Read more

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