Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Cambridge
- University of Oxford
- AALTO UNIVERSITY
- Imperial College London
- University of Newcastle
- University of Sheffield
- Brunel University
- KINGS COLLEGE LONDON
- University of Liverpool
- University of Nottingham
- Heriot Watt University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- ; University of Cambridge
- Brunel University London
- Durham University
- Heriot-Watt University;
- Nature Careers
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SOUTHAMPTON
- University of Cambridge;
- University of Glasgow
- University of Leicester
- University of London
- 14 more »
- « less
-
Field
-
The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory
-
includes projects in biomedical instrumentation, experimental hardware automation and programming, and computational science. Scientific publications in a relevant area are considered a significant benefit
-
in both research and education with other UCL departments, including computer science, engineering, economics, psychology, public policy, statistics and medical sciences. About the role The UCL School
-
Professor Akane Kawamura Akane.Kawamura@newcastle.ac.uk For more information on the School of Natural and Environmental Sciences, please click here . To apply, please complete the online application and
-
of environmental economics and innovation. The successful candidate will play an integral role in supporting data-driven, policy-relevant research examining the intersection of environmental challenges and
-
work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Department of Computer Science is an
-
28 Aug 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Computer science Physics Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country
-
: Essential criteria MSc. in Neuroscience, Physics, Computer Science, or a related field Strong background in computational neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and
-
mortality using traditional and new forms of data, with a focus on developing and low-income countries. The successful applicant will spend 18 months at LSHTM and enrol in the PhD programme, with fees funded
-
of medulloblastoma biology, focussing specifically on tumour metabolic targets. You will develop and support the INSTINCT-MB. programme through the provision of experimental, analytical and bioinformatic expertise