Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- KINGS COLLEGE LONDON
- University of London
- Nature Careers
- Cranfield University
- Imperial College London
- King's College London
- ROYAL HOLLOWAY, UNIVERSITY OF LONDON
- UNIVERSITY OF WESTMINSTER
- ; The Francis Crick Institute
- ; UCL
- CITY ST GEORGE'S
- City University London
- Kingston University
- 4 more »
- « less
-
Field
-
, working across materials science, device engineering, electrochemistry, and in collaboration with the Programme Co-Directors based at both IGS and Nanyang Technological University . The programme aims
-
About Us The School of Life Course & Population Sciences is one of six Schools that make up the Faculty of Life Sciences & Medicine at King’s College London. The School unites over 400 experts in
-
solutions. A PhD in an appropriate discipline (for example, AI, Computer Science, Software Engineering, Data Science, or Regulatory Science or related Fields). The post is available for 11 months, with
-
Framework Programme? Not funded by a EU programme Reference Number 5039 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Engineering and Applied Sciences
-
addressing areas of potential bias Desirable criteria Strong analytical and computational skills in health data science Experience of physically working in low-resourced settings (LMICs) Downloading a copy of
-
Job id: 113046. Salary: £53,149 to £62,422 per annum, including Lon-don Weighting Allow-ance. Posted: 11 April 2025. Closing date: 27 April 2025. Business unit: Faculty of Life Sciences & Medicine
-
Academic Fellowship scheme for 20 outstanding researchers focused on AI development and application across all disciplines, including health & biosciences, humanities, social & behavioural sciences, physical
-
Engineering (EEE) or a closely-related field (Physics, Computer Science, Material Science). Understanding of the physics of semiconductor devices and photonic subsystems is essential, as well as the ability
-
Academic Fellowship scheme for 20 outstanding researchers focused on AI development and application across all disciplines, including health & biosciences, humanities, social & behavioural sciences, physical
-
Desirable criteria Strong analytical and computational skills in health data science Experience of physically working in low-resourced settings (LMICs) Downloading a copy of our Job Description Full details