21 high-performance-quantum-computing Postdoctoral positions at King's College London in United Kingdom
Sort by
Refine Your Search
-
About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises the Departments of Chemistry, Informatics, Mathematics, Physics. The Department of Mathematics has a
-
international partners and maintains strong links with rheumatology and primary care services throughout the NHS. We have an active programme of patient and public involvement, which informs all stages of our
-
to apply cutting-edge techniques, to address fundamental questions in immunology. You will design and conduct experiments, analyse complex datasets, and contribute to high-impact publications in a
-
, charitable trusts and foundations, international Universities and industry. The post holder will work as part of a recently funded EPSRC Programme grant, undertaking research into Nanotheranostics, support
-
, charitable trusts and foundations, international Universities and industry. The post holder will work as part of a recently-funded EPSRC Programme grant, undertaking research into nanotheranostics, support
-
funded by EPSRC. The project will be led by Carmine Ventre, https://www.kcl.ac.uk/people/carmine-ventre . The role holder will join the Distributed AI group in the Department of Informatics at King’s
-
, and robust communication links for operation in complex biological environments. The role involves advanced electromagnetic modelling, system-level simulation, and experimental validation to achieve
-
& Medicine. Department: Res Dept of Biomedical Computing. Contact details:Dr Konrad Wagstyl. konrad.wagstyl@kcl.ac.uk Location: St Thomas Hospital. Category: Research. THIS VACANCY IS OPEN TO INTERNAL
-
to apply cutting-edge techniques, to address fundamental questions in immunology. You will design and conduct experiments, analyse complex datasets, and contribute to high-impact publications in a
-
the use of computing servers Desirable Criteria Experience fine-tuning large language models (e.g., BERT, BioGPT, MedPaLM) for clinical NLP tasks. Experience with cloud or distributed computing environments