167 modeling-and-simulation-post-doc Postdoctoral research jobs at University of Oxford in Uk
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Applications are invited for a Postdoctoral Research Assistant in in laser-driven plasma accelerators. The post is available for a fixed-term until 31 May 2029. This project will focus on developing
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of Cambridge. The project aims to demonstrate a proof-of-concept synthesis of green ammonia using water directly as a hydrogen source in combination with nitrogen, from the air. The post holder’s role within
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challenge. We seek a senior computational biologist to apply these extensive in-house datasets toward the development of novel, domain-tailored machine-learning models and analytical methods. You will explore
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tomato and pepper as model systems. Work in Oxford will build on our extensive experience in studying bacterial virulence mechanisms and the role of the plant microenvironment in disease development
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into the ethical governance of Large Language Models (LLMs), as part of the prestigious Divirsibus Vis Plurima Solvo project. The position is full-time and fixed term for 41 months or to the funding end date of 30
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The Department of Earth Sciences, University of Oxford, seeks to appoint a full-time Postdoctoral Research Assistant in Security of Carbon Dioxide Drawdown During Enhanced Rock Weathering. The post
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, biochemistry, cell-based and model organism. You will be expected to manage your own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects
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The University of Oxford is seeking an experienced Post Doctoral Research Scientist to join our laboratory team in the Radcliffe Department of Medicine (RDM) Division of Cardiovascular Medicine. RDM
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the Department of Engineering Science at the University of Oxford. The post is funded by the Oxford Martin Programme on Circular Battery Economies. It is fixed term up to December 2027. You will undertake
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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