20 molecular-dynamics-simulation "https:" Postdoctoral positions at KINGS COLLEGE LONDON
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environment for the pursuit of cutting-edge cardiovascular and metabolic research. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and
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research. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and drive the translation of this strong basic
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a dynamic hub of multi-disciplinary scholarship that seeks to address the pressing issues facing our world today, including climate change, inequality and global health. At King’s, we are deeply
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frameworks into mathematical models of complex cross-scale disease dynamics across different epidemiological scenarios. A key responsibility is to test key assumptions about differential disease risk by
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a dynamic and collaborative setting for cutting-edge research. About The Role We are seeking a highly motivated Postdoctoral Research Associate to join a multi-disciplinary research group led by Dr
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conference presentations Laboratory-based experience in cellular and molecular Immunology techniques including cell culture, purification of primary cells, flow-cytometry, qPCR, ELISA, etc Experience in in
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About us The School of Global Affairs (SGA) in the Faculty of Social Science and Public Policy at King’s is a dynamic hub of multi-disciplinary scholarship that seeks to address the pressing
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culture, enterprise data management Track record of organising dissemination and community building events e.g. workshops or tutorials co-located with academic conferences Downloading a copy of our Job
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data science techniques to model and classify population health risk and disease dynamics at multiple spatial and temporal scales. The PDRA will lead the development of novel approaches for managing
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identifying high risk individuals and groups. The PDRA will translate conceptual frameworks into mathematical models of complex cross-scale disease dynamics across different epidemiological scenarios. A key