470 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" Postdoctoral positions in United Kingdom
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allows the successful applicant to choose a flexible balance between advanced machine learning method development and exciting applications on molecular data, including biomedicine and drug discovery
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conditions. About the role We are seeking a highly motivated postdoctoral Research Associate in research data science and analysis to join Professor Gerome Breen’s internationally recognised team at King’s
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at this grade. Appointments will always be made based on skills and experience aligned with the job description. For further information, please visit: http://www.chemistry.manchester.ac.uk/about-us/athena-swan
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, “INFORMED-AI” hub. More details can be found about the INFORMED-AI hub at https://informed-ai.net . The post is fixed term for 24 months with the start data as May 1st , 2026, and the end as April 30th , 2028
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application. In your supporting statement, please explain how you meet each of the selection criteria found in the job description, and why you would like to do this role. See guidance at https
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of society, particularly from underrepresented groups. For more information, please see our website https://www.hw.ac.uk/uk/services/equality-diversity.htm and also our award-winning work in Disability
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for the role. Please note we are unable to confirm individual eligibility before shortlisting. See here for more information on Skilled Worker visa eligibility: https://www.gov.uk/skilled-worker-visa Further
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Months Rewards and Benefits: 33 days annual leave, plus 9 buildings closed days for all full time staff (Part time workers should pro rata this by their FTE). Use our total rewards calculator: https
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About the Role Postdoctoral Research Assistant to join Dr Diu Nguyen’s group (https://www.diunguyenlab.org/). We study the biological mechanisms underpinning leukaemia development and progression
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
for sequential data modelling, including Physics-informed Machine Learning and Koopman Operator-based representation framework, towards building interpretable predictive models for complex multi-physics dynamical