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), based at the Centre for Human Genetics, University of Oxford. The post aims to assist with the preparation and molecular characterisation of tumours using multi-omic analysis focusing principally
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The post holder will be expected to have a PhD in law or political science and skills to handle large dataset and conduct quantitative analysis and other empirical analysis. Familiarity with LLM (large
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the project will address a long-standing question in animal EvoDevo, providing mechanistic insights into how animal embryogenesis diversifies and the principles that generate asymmetric cell divisions. The post
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of Pathology, University of Oxford to study interplay between ADP-ribosylation and ubiquitination signalling in DNA damage and/or immunity responses. The post-holder will be responsible for managing own academic
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project partners such as WRAP, the Southeast Rivers Trust, the Wye and Usk Foundation, and the North Essex Farm Cluster to ensure the practical application of research findings This is a full-time post, and
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human geography post-doctoral researcher to deliver a short-term piece of work analysing evaluation data from the S4 programme. A PhD in Human Geography or a relevant social science discipline is
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modelling/AI and/or computational neuroscience, with strong computational skills. The post holder will provide research support in the area of computational neuroscience/AI and animal cognition, develop
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collaborations. Key Duties and Responsibilities The post holder is required to; Work with colleagues and line manager to devise and perform experiments, modelling and analysis consistent with the goals
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. Experience in molecular biology, cytogenetics or histopathology is desirable. Please refer to the Further Particulars for more information. Fixed-term: The funds for this post are available for 2 years, with a
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). Application process Please send your application as soon as possible, at the latest October 31st, 2025. We will go through applications, and we will hire the right candidate as soon as we find them, possibly