-
PDRA in Machine Learning and Natural Language Processing for Materials Science ( Job Number: 25001449) Department of Computer Science Grade 7: - £38,784 - £39,906 per annum Fixed Term - Full Time
-
using diatom data and application of quantitative methods. Previous experience working in remote coastal environments would be an advantage. The post is for a fixed term of 22 months. The project is time
-
Public Involvement and Engagement (PPIE) Lead. The project addresses the growing demands on glaucoma care by developing an AI-enabled triage platform that integrates retinal imaging, clinical data, and
-
; image and language; synthetic worlds; and being human . We welcome applications from those with research interests in these broad fields, and we are particularly eager to hear from applicants with
-
of magneto-optical traps, the production of quantum degenerate gases, optical trapping and optical lattices. The post holders are expected to be able to work effectively both independently and as part
-
using anion photoelectron imaging. The post-holder will be expected to develop and use molecular beam methods and mass-spectrometry to generate cold isolated anionic cluster, to use laser spectroscopy
-
regardless of their designated shift. Successful candidates are expected to promote a positive image of University Catering and Durham University at all times. Please note: If you have applied for this post
-
.” Successful candidates are expected to always promote a positive image of University Catering and Durham University. Specific Role Information This role is a two-year fixed term role, and to be eligible
-
://www.astro.dur.ac.uk. The Role Two posts are available. One is funded by the European Research Council (ERC), to start in October 2026, for a period of 3 years. The other is funded by UK Research & Innovation (UKRI), to
-
, including the operation of magneto-optical traps, the production of quantum degenerate gases, optical trapping and optical lattices. The post holder are expected to be able to work effectively both