61 high-performance-quantum-computing-"https:" "https:" "https:" research jobs at KINGS COLLEGE LONDON
Sort by
Refine Your Search
-
20 Jan 2026 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline
-
of a high repetition rate femtosecond Ytterbium CPA system at King’s College London in the Attosecond quantum physics laboratory led by Dr Amelle Zair. The FCPA researcher assistant will be responsible
-
) First Stage Researcher (R1) Country United Kingdom Application Deadline 21 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme
-
: The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out research in neuro-symbolic AI, with a focus on using generative and
-
engineering and physics laboratories, high-performance computing, and industry collaboration through the London Institute for Healthcare Engineering. About The Role Severe epilepsy has a devastating impact on
-
- 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
-
United Kingdom Application Deadline 4 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
-
United Kingdom Application Deadline 30 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
-
computing, including an understanding of high-performance computing clusters Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found
-
development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for identifying high risk individuals and groups. The PDRA will translate conceptual