Sort by
Refine Your Search
-
Employer
- ;
- Imperial College London
- Nature Careers
- University of Birmingham
- ; University of Warwick
- Birmingham City University
- CRANFIELD UNIVERSITY
- Glasgow School of Art;
- King's College London
- QUEENS UNIVERSITY BELFAST
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF SOUTHAMPTON
- University of Lincoln
- University of Liverpool
- University of Nottingham
- 5 more »
- « less
-
Field
-
. Person Specification First degree in area of materials, manufacturing, mechanical engineering, solid state physics or a related discipline Doctoral degree (such as PhD), or close to completion of a
-
the I-X Centre for AI in Science. These fellowships have the aim of identifying excellent researchers and accelerating them in using AI to advance and disrupt Science or Engineering. Here ‘AI’ is
-
Science. These fellowships have the aim of identifying excellent researchers and accelerating them in using AI to advance and disrupt Science or Engineering. Here ‘AI’ is interpreted very broadly, e.g
-
Science. These fellowships have the aim of identifying excellent researchers and accelerating them in using AI to advance and disrupt Science or Engineering. Here ‘AI’ is interpreted very broadly, e.g
-
fellowships have the aim of identifying excellent researchers and accelerating them in using AI to advance and disrupt Science or Engineering. Here ‘AI’ is interpreted very broadly, e.g.: topics in Bayesian
-
fellowships have the aim of identifying excellent researchers and accelerating them in using AI to advance and disrupt Science or Engineering. Here ‘AI’ is interpreted very broadly, e.g.: topics in Bayesian
-
of the planet. Activity is underpinned by high calibre science technology platforms and state of the art equipment. Educational activity includes a range of undergraduate programmes, an expanding number
-
, Engineering and the Built Environment (On-site) The full-time starting salary is normally £42,860.00 per annum, with progression available in post to £46,586.00 per annum. Grade: UL Full-time, 12 month fixed
-
training and fine-tuning large language models (LLMs) to extract structured clinical concepts from unstructured EHR, pathology, and radiology reports. The role involves publishing in high-impact, peer