Sort by
Refine Your Search
-
Listed
-
Employer
- Durham University
- KINGS COLLEGE LONDON
- University of Oxford
- ;
- King's College London
- AALTO UNIVERSITY
- Heriot Watt University
- Manchester Metropolitan University
- UNIVERSITY OF VIENNA
- Imperial College London
- Medical Research Council
- University of Cambridge
- ; University of Cambridge
- Nature Careers
- Swansea University
- 5 more »
- « less
-
Field
-
holidays), family friendly policies (6 months full pay maternity & adoption leave), a range of shopping/travel discounts, access to our Employee Assistant Programme Scheme, Health and Wellbeing Support and
-
associate with expertise in data science to join the King’s BHF Centre of Research Excellence and contribute to a growing cardio-immunology research programme. Inflammation is increasingly recognised as a key
-
of Research Excellence and contribute to a growing cardio-immunology research programme. Inflammation is increasingly recognised as a key modifiable driver of adverse outcomes across a range of cardiovascular
-
the Department of Engineering Science at the University of Oxford. The post is funded by the Oxford Martin Programme on Circular Battery Economies. It is fixed term up to December 2027. You will undertake
-
science, or specific skills to a team delivering a project or program. Through this work, you will build scientific independence, develop new science and leadership skills, and establish a growing
-
Wellcome Trust and by project-specific funding from the EU Horizon programme. As part of a multi-disciplinary research team, you will contribute to analyses of the global food system. Some of the interests
-
opportunities. Lots of support for health and wellbeing including discounted membership for our state of the art sport and gym facilities and access to a 24-7 Employee Assistance Programme. On site nursery is
-
Wellcome Trust and by project-specific funding from the EU Horizon programme. As part of a multi-disciplinary research team, you will contribute to analyses of the global food system. Some of the interests
-
first experiments of the future quantum-computer technology that is orders of magnitude more efficient than existing quantum processors. Join us in shaping the future! As a result of five ERC grants
-
aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits