644 parallel-computing-numerical-methods-"DTU" Fellowship research jobs in United Kingdom
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clinical trial portfolio for a research programme in antimicrobial resistance and work to support colleagues in data-enabled trials. You will also undertake statistical methods research associated with
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spectroscopic data analysis. This role forms part of a larger research effort exploring advanced polymer processing techniques and data driven methods to improve material performance and manufacturing efficiency
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opportunity for an enthusiastic and motivated postdoctoral fellow in data-sciences and biomedical informatics to work on exciting human and veterinary health studies, such as the identification of novel
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in health services research (broadly defined) to work across a range of studies. With a background in qualitative, quantitative or mixed methods, the postholder will support an exciting and innovative
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sufficient breadth and depth of specialist knowledge in Health and Social Care research methods and techniques to work within SUMIT programme High level of analytical capability. To be successful
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efficiently, coordinating tasks relevant to all SUMIT activities at regional level. SUMIT is a project supported by PEACEPLUS, a programme managed by the Special EU Programmes Body About the person: Essential
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About Us The Faculty of Life Sciences & Medicine brings together
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Science methods and AI models while ensuring their principled and competent adoption across disciplines. Our approach is anchored in fostering an interdisciplinary and inclusive culture in research and
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scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. The Department
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences