Sort by
Refine Your Search
-
LiDAR and multispectral imageries), and lab analyses. The PhD will benefit from participation in a wider 'large wood' project with over 12-partners (including Environment Agency, SEPA, Natural England
-
decision-making. Examples include crowd management and large-scale communication networks based on cellular or wireless sensors. For instance, during mass gatherings such as the sport matches (e.g
-
impacts and suboptimal decision-making. Examples include crowd management and large-scale communication networks based on cellular or wireless sensors. For instance, during mass gatherings such as the sport
-
for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project Aims and
-
, encompassing advanced geospatial analysis, remote sensing methods, atmospheric transport modelling, and epidemiological data integration. The researcher will also receive guidance in handling large datasets
-
PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
generation of wireless communication (6G) to extend network coverage, supporting diverse data-intensive applications such as immersive extended reality and autonomous systems. However, aerial 6G networks will
-
barriers: a large input modality gap, as network data consists of diverse, non-textual formats like time-series metrics, graphs, and scalar values; the inefficiency and unreliability of answer generation
-
), machine learning (ML), deep learning (DL) and Data science methods for medical image analysis, to autonomously grade the fundus images from large datasets. This will be supported by Professor Neil Vaughan
-
Methods Tropical forest soils are crucial to the global carbon cycle, yet increasing wildfire, land-use change, and climate warming may cause large carbon emissions. This PhD will investigate (1) how soil
-
Partner The National Oceanography Centre (NOC) will co-develop PhD project, provide scientific expertise during supervision meeting, access to numerical data and access to research facilities and training