46 web-programmer-developer-"https:"-"UCL"-"U" "Japan Agency for Marine Earth Science and Technology" PhD positions at University of Exeter
Sort by
Refine Your Search
-
to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
-
Science and Services (TESS) lab (https://tess-lab.org/ ) in the Department of Geography, Streatham Campus, Exeter. Funded by the Saudi NEOM project, eligible students would receive Home tuition fees, a
-
to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
-
to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
-
to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
-
enquiries to: Johan Wahlstrom (j.wahlstrom@exeter.ac.uk) Please ensure you read the entry requirements for the potential programme you are applying for. To Apply for this project please click on the following
-
person. Aims: The project aims to develop and evaluate AI methods for medical image analysis to detect diabetic retinopathy, glaucoma, cataract and age-related macular degeneration (AMD). As
-
behaviour in a practical, real-time monitoring system requires advances in both sensor engineering and behavioural data interpretation. This PhD project aims to develop a next generation environmental
-
to address urgent challenges in animal conservation and welfare. However, existing technologies have mostly been developed for use in controlled laboratory settings and are often unsuitable for field
-
. The framework consists of three key technical innovations. First, a multimodal encoder will be developed to project heterogeneous network data (e.g., time-series, sequences, graphs) into a token-like embedding