24 web-programmer-developer-"https:"-"UCL"-"PhD-Jobs"-"U.S"-"https:" positions at University of Exeter
Sort by
Refine Your Search
-
. About you The successful applicant will be able to present information on research progress and outcomes, communicate complex information, orally, in writing and electronically and prepare proposals and
-
in Environment, Water and Waste (CREWW) available from 2 February 2026 to 2 August 2027. The successful applicant will work on the collaborative project “Developing a water tank cleaning system using a
-
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
-
equitable access to clean energy. By linking technical innovation with legal reform and social inclusion, this project aims to develop a regionally tailored strategy for sustainable, just energy transition
-
This project is a fully funded MSc by Research Scholarship in Medicinal Chemistry / Synthetic Organic Chemistry and builds on a successful decade-long research programme at the University of Exeter
-
This PhD “Novel use of AI in Marine Monitoring” will focus on marine monitoring in NEOM Nature Reserve (NNR) within northern Saudi Arabia. The PhD will develop techniques for automation in surveying
-
circumstellar disk science (e.g. debris discs, protoplanetary discs, etc) and possess sufficient specialist knowledge in the discipline to develop research programmes and methodologies. The successful applicant
-
tuition fees covered). The aim of project is to develop a new experimental platform to control quantum states of light as they propagate through complex scattering media, with future applications to quantum
-
research, develop and apply state-of-the-art optimisation and machine learning methods to problems within ship design, encompassing hull, powertrain and internal designs. The successful candidate will have