22 educational-technology-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions at University of Exeter
Sort by
Refine Your Search
-
the adoption of novel technologies. Our prior independent and DSTL-funded research has established foundational safety assurance techniques for autonomous systems: This PhD will develop an assured runtime safety
-
and Astronomy at the Streatham campus in Exeter. The UK Government has undertaken a assessment of the potential of metamaterials science and technology, which is available here . Due to the nature
-
the menstrual cycle. In this project you will combine innovative smart technology and the latest AI-based food tracking apps to understand the impact of dietary behaviours on PMS and perimenopausal symptoms and
-
applications. The research project aims to explore the integration of 2D materials, such as graphene and post-graphene structures, into PFAS-free formulations to develop multifunctional coatings for porous
-
to work on a rapidly emerging offshore industry where many key engineering questions remain open. You will: Develop expertise in offshore structural dynamics Work with real-world environmental data and
-
to develop PTSD, and while talking therapies are effective, not everyone fully recovers. We examine whether sleep can be used to improve trauma therapy. When we sleep, the brain naturally strengthens what we
-
, speech, gaze, affective dynamics and interaction patterns. This PhD project will develop personalised AI models for computational mental health by simulating the latent cognitive processes underlying
-
with no cure, and we urgently need new ways to understand and treat it. This exciting PhD project combines cutting-edge stem cell technology, 3D bioprinting, brain cell models, and advanced genomic
-
immunomodulatory compound, you will determine how it reprograms host lipid pathways to boost immunity and eliminate infection. Using lipidomics, zebrafish models and clinical samples, this research will identify
-
from animal hosts (are ‘zoonotic’), yet it is hard to predict which pathogen species are likely to cross into human populations and why. This project will combine AI Large Language Models, extracting