Sort by
Refine Your Search
-
PhD-studentship in Applied Mathematics / Quantitative Ecology: Wind‑Assisted Dispersal of Insect Tree Pests: An Interdisciplinary Modelling and Ecological Study Award Summary 100% home fees covered
-
This interdisciplinary PhD project will bring together mathematics and ecology to assess the risk of invasive tree pests being transported into Great Britain by wind. While biosecurity measures largely focus on trade
-
reliability. This PhD project will develop lifecycle and systems‑level models that track these fuels from production through storage, onboard use and energy conversion. Using advanced simulation and analysis
-
EPSRC ReNU+ CDT PhD Studentship: Representative Elementary Volume fluid dynamic modelling for sedimentary geothermal production Award Summary 100% fees covered, and a minimum tax-free annual living
-
PhD Studentship - Process Industries: Net Zero CDT: Lifecycle & Systems Modelling of Future Marine Fuels and Engine Systems Award Summary 100% fees (UK home only), a minimum tax-free annual living
-
PhD Studentship: Real-Time River Water Quality Forecasting through Integrated Hydrodynamic and Surrogate Modelling Award Summary This studentship provides a tax-free annual living allowance
-
PhD Studentship: Development of a robust hydrological modelling framework for drought risk assessments Award Summary Tax-free annual living allowance £26,546 a £20,000 research training grant and
-
contributes to Parkinson’s disease across diverse global populations? This PhD project will explore how African diet, environment, and socioeconomic context shape Parkinson’s disease–associated gut microbiome
-
networks for real-time, adaptive diagnosis. b) Uncertainty in Dynamic Environments: Runtime uncertainties require sophisticated risk modeling; we will employ Bayesian deep learning and deep reinforcement
-
from waste/biomass which do not compete with food production, could be the key sustainable “drop-in” marine fuel of the future. This PhD project addresses a key challenge: how to efficiently produce bio