8 embedded-system-"https:"-"https:"-"https:"-"https:"-"St" PhD positions at Loughborough University
-
Science), a global leader in marine science, the project will develop scalable, low-cost embedded vision systems to analyze marine biodiversity and detect anthropogenic debris. The core challenge is
-
-geomorphological field methods. The project is embedded in an applied setting through collaboration with Previsico and international partners, ensuring pathways to real-world impact for policy, infrastructure risk
-
strong social economy. Building on reflexive ethnographic methodology, data will be analysed collaboratively with the research participants. During fieldwork the researcher will undertake ethnographic
-
(CHF) phenomena – the prediction of which is key to safely designing and operating water based nuclear reactors. Current industrial modelling tools necessitate excessively conservative safety margins
-
integration technologies to create the next generation of smart textile and wearable systems for high performance sports (e.g., running) and rehabilitation applications (e.g., recovery monitoring
-
(CHF) phenomena – the prediction of which is key to safely designing and operating water based nuclear reactors. Current industrial modelling tools necessitate excessively conservative safety margins
-
Wildfires and floods are two of the most destructive natural hazards, and climate change is intensifying both. When fires strip vegetation and alter soils, rainfall can trigger debris flows and
-
. Funding information: Studentship type – UKRI through FLOOD-CDT . The studentship is for 3.5 years and provides a tax-free stipend of £20,780 per annum plus tuition fees at the UK rate. Due to UKRI funding