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The capability and flexibility to work weekends and evenings is an essential element of the role, along with a willingness to travel across the Northwest and elsewhere within the UK. For more information, please
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experience of machine learning, multiwavelength imaging and data analysis are encouraged to apply. Prospective candidates are encouraged to contact Dr John Stott (j.p.stott@lancaster.ac.uk ) for further
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. This role involves the analysis of brain function at the brain circuit and behavioural level, across development, using genetically modified mice with risk gene mutations for schizophrenia. As this post is
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initiatives as part of a multi-year digital transformation. The primary focus of the role is to support several medium sized projects through analysis, design procurement and delivery stages. We are looking
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learning and software engineering skills to develop the data analysis protocols for collection of data and quality assurance; the processing and analysis of the data (e.g., multivariate analysis and/or
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atmospheric science or a closely related discipline • experience in developing and applying atmospheric models • strong skills in programming and data analysis using R, Python or similar languages
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candidate must have strong experience in delivering to strict deadlines ideally in a project combining building and technology elements. The role is based on the Lancaster University Bailrigg campus
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consequences for soil functioning. This position will mainly focus on the analysis and interpretation of existing data on soil microbial responses to drought collected from a global network of grassland sites
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will include modelling of the data using PECUBE, ideally undertaken during a two month visit to Peter Van der Beek in Germany, who will lead the modelling element of the project. Prior experience with
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truth through the collation and analysis of programme information. This will be combined with advising on the consistent adoption of best practice standards and processes, tailoring as appropriate. You