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PhD studentship: Defining the role of the pioneer factor FOXA1 in hormone-dependent cancer Supervisor: Professor Jason Carroll Course start date: 1st October 2026 Project details For further
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development Proficiency in complex data analysis Knowledge and experience with R, Python, MATLAB Familiarity with statistics methods, large data sets and data visualization Ambition, drive, strong work ethic
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Fixed-term: The funds for this post are available for 3 years in the first instance. We invite applications for a Postdoctoral Research Fellow to join the Lab of Interdisciplinary Spatial Analysis
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A position exists for a Post Doctoral Research Associate in the Department of Applied Mathematics and Theoretical Physics to work on rigorous mathematical analysis of geophysical fluid equations
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. Undertake all filling and archiving as required. Utilise databases to respond to requests from your line manager and senior staff, including the manipulating and analysis of data to extract insights and
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transcriptomics and histone mark profiling as well as by live imaging approaches. As part of this project, you will have the opportunity to gain computational data analysis skills. This studentship comes with
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for both Gaia and Plato, including automation, large scale distributed processing, data analysis and data management. The work involves systems analysis, design, implementation, testing, documentation and
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building blocks to elicit properties far beyond simple averaging over the component materials involved, instead giving exciting opportunities for new functionalities that are not found in natural materials
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"Coupled Magnetic Hybrids for Advanced Quantum Technologies", a collaboration with the City University of Hong Kong (CUHK). The aim of the role is to explore how nanomagnetic elements in proximity structures
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development and review of HR policy through data gathering, analysis, and research. You will play a critical role in maintaining compliance with employment legislation, ensuring transparency, and delivering