31 web-programmer-developer-"https:" "https:" "https:" "https:" "ESS Escola Superior de Saúde" PhD positions at Loughborough University
Sort by
Refine Your Search
-
datasets with phylogenies and environmental variables, the project aims to rapidly explore trait evolution, predict dispersal potential, and assess climate-related risks. This work bridges biodiversity
-
Volcanic islands are exciting real-world climate and landscape laboratories. When geologically young (<10Ma) they provide a simplified and spatially limited setting for testing landscape evolution
-
, quantitative analysis, and laboratory-based experimental methods. Working within a collaborative team at the NIHR Leicester Biomedical Research Centre (Loughborough University Campus), they will develop
-
We are seeking a highly motivated PhD researcher to develop innovative technologies that improve sustainability in the food industry. The UK food and drink sector is the country’s largest
-
channel caused by wildfire effluents. Inspired by passive radar principles, this approach could enable low-cost, wide-area coverage without the constraints of optical visibility. The PhD will develop RF
-
to break that barrier by developing a groundbreaking MEMS-based neuromorphic platform that physically implements Reservoir Computing (RC), a bio-inspired approach using nonlinear dynamics for fast, efficient
-
often missed, and failures occur without warning. This PhD project aims to develop novel diagnostic techniques for earthwork asset condition appraisal and deterioration detection, helping to answer
-
This project aims to bring together evidence from climate projections, risk assessment and observations to develop and evaluate event-based storylines based on recent flooding in Leicestershire, UK
-
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
-
. Analysis of images will investigate the efficacy of manual digital approaches (e.g., Dot Dot Goose) and the development of a marine litter characterisation and quantification algorithm for automated analysis