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sequences, analyse those data using Bayesian, Maximum Likelihood and coalescence approaches, and build matrices of geolocation and morphological data. The work will be alongside others working on related
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embedded in a collaborative, international research environment with access to state-of-the-art next generation sequencing and cell culture facilities. Your qualifications Master degree in Molecular Biology
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in health and wellbeing. This practice-based research project will align with the University’s civic mission and its research priority on Arts and Health and will be embedded in the development of a
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across multiple fields and with the brightest minds to find creative solutions. Most importantly, you’ll discover what’s possible within you as you grow, make valuable contributions and progress in your
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optimisation/high-value products Project start date: 01 October 2025 Supervisors: Dr Steve Slocombe and Dr Miguel Lurgi Aligned programme of study: PhD in Bioscience
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divisions. This role is instrumental in shaping the Department’s research administration infrastructure and aligning it with institutional goals and compliance standards. The incumbent will lead the design
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and next generation sequencing data. Graphical output of data analysis for publication demonstrated experience in statistical analysis and designing computational methods and tools, including prior
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assumptions leads to creating work environments that foster a shared connection to higher level goals, driving individuals to consider the outcomes of their actions for multiple stakeholders and speak up about
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high-Arctic Svalbard and other Arctic regions, the wintercress (Barbarea vulgaris) is an established alien species. Hypotheses for its success include multiple introductions from different genetic
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computational skills (using R, modelling software, working on a remote linux-based server) and experience in analyzing Next Generation Sequencing data, including PCA, outlier analysis, GO-term enrichment analysis