93 postdoc-molecular-dynamics-simulation Postdoctoral research jobs at University of Oxford
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About the role We have an exciting opportunity to join the dynamic research group led by Dr Jie Yang in the Department of Oncology at the University of Oxford. The group conducts research on T cell
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and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing
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the molecular mechanisms underlying disease progression and treatment resistance and identify novel therapeutic targets. You will take a lead on development of computational approaches to integrate multi-omics
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research group has shown, by contrast, that the dynamics of antigenically diverse pathogens is driven by naturally acquired immunity against epitopes of limited variability (ELV), thereby opening up
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, genetic, and DNA methylation analyses to patient-derived samples and disease models. Working closely with a dynamic and multidisciplinary team of clinicians and scientists, they will help generate and
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analyses to patient-derived samples and disease models. Working closely with a dynamic and multidisciplinary team of clinicians and scientists, they will help generate and interpret high-resolution datasets
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About the role We are seeking a full-time post-doctoral research assistant to join the Dynamic Optics and Photonics research group at the Department of Engineering Science (central Oxford). The post
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The MRC Brain Network Dynamic Unit (BNDU, University of Oxford) is seeking a Postdoctoral Research Assistant to undertake a program of research under the supervision of Dr Ashwini Oswal (Oswal Group
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
these ecological shifts intersect with public health outcomes and socioeconomic dynamics across Amazonian municipalities. The Postdoctoral researcher will investigate how tree communities in primary forests
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experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated