51 high-performance-quantum-computing-"https:" "https:" "https:" "https:" "https:" research jobs at King's College London
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& 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
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, epidemiological, and data science perspectives. The postholder will hold a PhD in Medical Statistics/Biostatistics, Mathematics, Computer Science, Epidemiology, or another quantitative discipline, and will have
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. Fellowships provide a competitive salary and up to £30,000 in research expenses for 18–24 months, enabling fellows to establish a distinctive research programme and prepare competitive applications
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’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. About the role The Research Fellow in Early-Phase and Digital Health Trial
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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
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based in the Department of Informatics within the Faculty of Natural, Mathematical & Engineering Sciences (NMES), an internationally recognised centre for research in robotics, artificial intelligence
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clinical base at the Maudsley Hospital and involves affiliated laboratories across King’s Health Partners. The programme is strongly lead by statistical modelling to predict not just Parkinson’s disease (PD
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will help to plan and deliver high quality research, particularly feeding into three of the Centre’s objectives: 1) conceptualising and identifying key issues and priorities in climate change and health
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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
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, perinatal mental health, child health). High degree of competence in standard medical statistics and in using statistical software packages (e.g. R, Stata or Python). Experience working with large-scale