165 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at University of Oxford
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expertise in statistics, mathematics, engineering and AI with industry scientists. Within the partnership, small research teams will focus on ambitious, ‘blue sky’ research for novel methods development
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this hydrogen generation model with the ammonia synthesis module. Find out more about the Hayward research and group at: https://www.chem.ox.ac.uk/people/mike-hayward. About you Applicants must hold a
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, activation, and effector functions in preclinical models of autoimmunity. This research is part of a broader effort to define how inhibitory receptors tune T-cell responses in health and disease, ultimately
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and real clinical scenarios. Evaluation may involve quantitative studies (model performance) and quality studies (human factors assessment). You should hold a relevant PhD/DPhil (or be near completion
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We are seeking to appoint a highly motivated Postdoctoral Researcher with expertise in innate immune responses to cancer, in vivo/in vitro experimental models, and advanced molecular techniques
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to reconstruct the tree-of-life on Earth, it allows us to reveal how biological function has evolved and is distributed on this tree, and it is the foundation that enables us to use model organisms
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analytical and statistical approaches and in setting the direction of the research project, with novel research ideas. It is essential that you currently hold a PhD in a related field (e.g. genomics
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-defined disease states and is funded by ERC. Find out more about the Aye research and group at: https://www.chem.ox.ac.uk/people/yimon-aye About you Applicants must hold a PhD in Chemistry, Chemical Biology
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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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an industry partnered project for translational drug discovery. The role will involve analysing large scale omics and spatial datasets from both primary patient samples and advanced in vitro model systems