-
proposal. This PhD will evaluate the efficacy and suitability of digital image collection and analysis for beach litter characterisation on heavily-littered coastlines, in partnership with community groups
-
removed, and valuable post-process water streams are frequently discharged due to insufficient monitoring. This project will investigate the fusion of data streams from ultraviolet (UV) fluorescence imaging
-
). The successful candidate will design and prototype intelligent textile/wearable systems capable of sensing, communication, and stimulation. The project will integrate wearable electronics, advanced manufacturing
-
an advantage. English language requirements: Applicants must meet the minimum English language requirements. Further details are available on the International website (http://www.lboro.ac.uk/international
-
on the International website (http://www.lboro.ac.uk/international/applicants/english/ ). Funding information: Studentship type – UKRI through Flood-CDT (https://flood-cdt.ac.uk/ ). The studentship is for 3.5 years and
-
, and community resilience across vulnerable deltas. We welcome applicants with quantitative aptitude and curiosity about rivers, hazards, and sustainability (training provided in GIS, coding, and
-
relevant subject. English language requirements: Applicants must meet the minimum English language requirements. Further details are available on the International website (http://www.lboro.ac.uk