468 data "https:" "https:" "https:" "https:" "Linköping University" Postdoctoral research jobs in United Kingdom
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participate in the development of a high-throughput data analysis pipeline and the development and testing of hypotheses. Key responsibilities Leading the development of mathematical models of post
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and interpreting data, and adapting methodologies where required. The role also involves preparing manuscripts for publication, presenting research at conferences and scientific meetings, and
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research income generation. You will also have experience in working with large micro databases and grouped data. Experience of independently managing a discrete area of a research project, working in
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these representations to guide the identification, by debate, of (non-)compliance to PRLs of LLMs and T2Is; O3) in the case of non-compliance, using information conveyed in the debates to enforce PRLs on LLMs and T2Is
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Network to evaluate the long-term effectiveness and implementation of Creating Active Schools in Bradford. You will co-coordinate large-scale quantitative data collection, lead a field team, engage schools
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@eng.ox.ac.uk) For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on Monday 20th April 2026 can be considered. You will
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modulation of disease-relevant cellular readouts. The postholder will lead major experimental workstreams within the programme, taking responsibility for experimental design, data generation, and integration
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archaeology. For a full role profile, please refer to the job description. Further Information To be considered for this opportunity, please submit your CV and Covering Letter by clicking ‘Apply’ at the top of
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cell-based assays. You will possess strong experimental design and data analysis skills, with the ability to independently plan, execute and troubleshoot complex experiments. You will have highly
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biopsy development. This role is suitable for candidates with either (i) a computational background (e.g. bioinformatics, data science, computational biology) who enjoy working closely with experimental