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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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academic environment. About the role: The post is offered as a full-time, fixed-term contract for an initial period of one year. The successful candidate will develop and implement novel analytical pipelines
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-learning models based on first-principles data and apply these methods across increasingly complex structures and chemical systems. The role will involve both methodological development (datasets, models
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, explainable AI (XAI) analysis and data-flow mapping, on welfare-AI systems in the UK, Netherlands and Sweden, contributing to comparative insights and high-quality project outputs. They will collaborate across
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for all. Find out more about the benefits of working at the University and what it is like to live and work in the Durham area on our Why Join Us? - Information Page The Role and Department The Department
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and machine learning models. To be successful in this role, you will have excellent communication skills and written English, strong quantitative and analytical skills, the ability to work creatively
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-lab role focuses on the computational analysis and methodological development of third-generation and single-cell sequencing data to understand the role of transposable elements (TEs) in early mammalian
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can be considered for this role Seabird monitoring datasets are often underutilized due to the complex and evolving analytical approaches needed for robust estimation of demographic rates and the
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of Sustainable and Inclusive Space Innovation for the Cislunar Economy, with a particular emphasis on multisensorial communications and analytical visualization to mitigate emerging space risks. We welcome
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The job details are shown below. For further information click on the link for the job description. An exciting opportunity has arisen for a 3-year Post-Doctoral Research Fellow to join a major new