31 high-performance-computing-postdoc Postdoctoral positions at King's College London
Sort by
Refine Your Search
-
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
-
consortium led by AINIA research centre in Spain. The postholder will have access to state-of-the-art high-performance computing (HPC) resources and will work alongside experts in both computational and
-
) Understanding of the eukaryotic cytoskeleton and its regulation. General proficiency in computing, including an understanding of high-performance computing clusters Downloading a copy of our Job Description Full
-
at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers, applies to Postdocs
-
. This entitlement, from the Concordat to Support the Career Development of Researchers , applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and
-
with other cellular resistance mechanisms to produce high levels of drug tolerance. Building on previous discoveries of efflux-resistant azole compounds that remain active against multidrug-resistant
-
, 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
-
: 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
-
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