37 data "https:" "https:" "https:" "https:" "https:" "https:" "FEMTO ST" Postdoctoral research jobs at Queen Mary University of London
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Skip to content Postdoctoral Research Associate in Epidemiology and Health Data Science Opportunity ID 10638 Faculty Medicine & Dentistry Location QM London Contract Type Fixed Term Duration
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Maria Liakata in the context of the RAi UK/UKRI funded Keystone project on Addressing socio-technical limitations of Large Language Models (LLMs), particularly for medical and social computing https
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mechanisms linking matrix mechanics, bioelectrical signalling and fibrotic cell-state transition. More information on the project can be found here: https://marcfernandezyague.com The successful candidate
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a strong track record of high-impact publications, external funding (>£4 million) and mentoring early-career researchers within a collaborative and supportive environment. More information: https
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experience analysing data in large developmental cohort studies, experience with using structural equation modelling applied to phenotypic and/or genetic data, experience working with statistical software
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females respond differently to bacterial infection. The successful candidate will play a leading role in the imaging and data analysis components of the project. They will develop and apply high
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, and public engagement. About You You will hold, or be close to completing, a PhD in statistical genomics, genetic epidemiology, data science, computing, artificial intelligence, biomedical
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researcher to join a dental research team focused on innovative applications of healthcare data to improve patient care. Funded by a research grant, the post brings together professionals from QMUL Institute
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, imaging and sensor data to predict disease state, treatment response and the likely consequences of alternative clinical interventions. The position is funded until March 31st 2028 in the first
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of working collaboratively, as part of a team. Experience of working to deadlines, analysing and processing data and evidence of preparing data for publication. About the School/Department/Institute