91 postdoc-molecular-dynamics-simulation Postdoctoral positions at University of Oxford in Uk
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: Full Time (37.5 hours per week) About the role The Ranes lab are seeking a talented Postdoctoral Research Associate to investigate the molecular mechanisms driving the Wnt/beta-catenin signalling pathway
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technologies have exploded in recent years, generating multi-dimensional data from millions of cells and thousands of molecular features. Understanding these data and harnessing their insights remains an ongoing
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and how clonal hematopoiesis (CH) affects the normal physiological ageing process. You will work within a team that comprises of the Nerlov lab , working alongside other groups within the Molecular
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focuses on understanding how tumour cell plasticity and dynamic cell state transitions drive resistance, and aims to identify actionable vulnerabilities that could inform future therapies. You will work
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-Cardiovascular Medicine provides a vibrant and dynamic environment for researchers, offering state-of-the-art facilities and a multidisciplinary team approach to cardiovascular research. This opportunity is
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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BBSRC grant awarded to Prof Francesco Licausi. The work is to be conducted in the Life and Mind Building, Department of Biology, University of Oxford. The postholder will work on the molecular mechanisms
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necessary for the benefit of the project; • employ simulations and data analysis routines to analyze your data; • help to establish a scientifically outstanding and warmly communicative
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Full Time (37.5 hours per week) rm Contract for up to 3 years About the role Dr. Frank Bürmann leads a research group investigating the molecular mechanisms of chromosome remodelling. The team employs
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settings. We are seeking a highly motivated postdoc to conduct research into this fast-moving area. Directions may include investigating quality evaluation methods for multi-agent systems, attack surfaces