Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- Imperial College London
- University of Nottingham
- University of Birmingham
- UNIVERSITY OF SOUTHAMPTON
- Nature Careers
- University of Cambridge
- ; University of Nottingham
- Manchester Metropolitan University
- QUEENS UNIVERSITY BELFAST
- Queen's University Belfast
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Southampton
- University College London
- University of Leeds
- University of Leeds;
- University of Liverpool
- University of London
- University of Oxford;
- University of Surrey
- 10 more »
- « less
-
Field
-
-led by Queen Mary University of London. PharosAI is set to revolutionise AI-powered cancer care, accelerating the development of breakthrough therapies, advancing clinical applications, and improving
-
co-led by Queen Mary University of London. PharosAI is set to revolutionise AI-powered cancer care, accelerating the development of breakthrough therapies, advancing clinical applications, and
-
Institute for Sustainable Communities (SISC) welcomes applications for the position of Research Associate/Fellow*, to join the UKRI funded Integrated Systems Approaches for Accelerating a Just Transition
-
accelerates our impact on society. We welcome applicants that value diversity of our community and are willing to play their part in supporting the mission of inclusivity. Please note that applications from
-
climate change. About the role The postholder will be based in IEDE and will work intensively with other partners of the ‘Accelerating Resilience and Climate Adaptation of Domestic Environments
-
of the forerunner projects of AlChemy, namely ¿Human in the Loop¿, which aims at integrating cutting-edge AI technologies with Robotics in accelerating the discovery and synthesis of new materials. You should have a
-
of the forerunner projects of AlChemy, namely “Human in the Loop”, which aims at integrating cutting-edge AI technologies with Robotics in accelerating the discovery and synthesis of new materials. You should have a
-
need to improve and accelerate diagnosis for these tumours. This will give clinicians and patients more time and information to make the best decisions for each patient, potentially improving surgical
-
focusing on the use QM/MM simulations to study targeted covalent inhibition and approaches to accelerate quantum chemistry calculations on quantum computers. Candidates should have a PhD in computational
-
focusing on the use QM/MM simulations to study targeted covalent inhibition and approaches to accelerate quantum chemistry calculations on quantum computers. Candidates should have a PhD in computational