Sort by
Refine Your Search
-
Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to
-
Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
-
Your Job: Remote sensing data from satellites are an extremely valuable information source to improve air quality predictions. They monitor aerosol and trace gases often with global coverage, which
-
recordings with optogenetic inactivation could be leveraged to causally verify or reject important model predictions Writing of the thesis and publication about the relation of experimental data and model
-
Integrating Hydrodynamic and Surrogate Models for Real-Time Coastal Water Quality Prediction Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI
-
designed to inform both researchers and practitioners. The resulting dataset, open-access and user-focused, will directly support advanced flood risk modelling, hydrological predictions, and adaptation
-
reconstruction methods to generate as-built building models for the detection of dimensional deviations, installation errors, or design compliance issues. Research into using robotics for automated, repeatable
-
, potentially mitigating flood risk while minimising environmental impact (Nimma & Srineash 2025, Nguyean et al. 2022). However, accurately predicting PB performance – particularly complex flow patterns within
-
and analysis as well as in the development of predictive models. Preferably, candidates should have knowledge in vibrational spectroscopy (Raman and FTIR (20%) - Criterion 3: Suitability