Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
PhD Studentship: Efficient Long-Horizon Task Execution in Physical AI (deep learning, computer vision, robotics) Number of awards: 1 Award information: Fully funded PhD studentship covering Home
-
Number of awards: 1 Award information: Fully funded PhD studentship covering Home tuition fees and a tax-free stipend. Available to Home fee-status applicants only due to funding structure
-
Data Operation Specialist - Nomis ( Job Number: 26000942) Department of Geography Grade 7: - £38,784 - £46,049 Fixed Term - Full Time Contract Duration: N/A Contracted Hours per Week: 35 Working
-
4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
We welcome applications from candidates with a broad range of academic backgrounds and experiences for a 4-year PhD project on Mathematical and Machine Learning Aspects in Crystallography at Durham
-
the Palaeozoic and several Mesozoic successions. This PhD project will deliver the first integrated assessment of the full range of potential saline aquifer storage fairways across the UK sector of the Southern
-
Research Assistant - Computer Vision and Machine Learning (Visual-AI) ( Job Number: 26000733) Department of Computer Science Grade 6: - £31,236 - £37,694 per annum Fixed Term - Full Time Contract
-
the opportunities below. These roles require fellows, with excellent written and spoken communication skills and the ability develop effective working relationships both internally and externally. The Department
-
. Candidates will be expected to demonstrate these key principles as part of the assessment process. Key responsibilities: Pursue research that is world-leading in terms of originality, significance and rigour
-
research objectives, including developing experimental methods where appropriate. Process, interpret and manage research data, and contribute to integrating laboratory results with seismological observations
-
for support to our community manager who can liaise with the UK’s DRI landscape – this includes research software engineers, platforms experts, PhDs, PDRAs and academics – and help us build up a thriving