17 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"BI" Fellowship positions at University of Leeds
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using bioinformatics and computational approaches. This will include analysing ribosome profiling data and direct-RNA-Seq data, as well as building novel pipelines and employing machine learning
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acids and derivatives, bile acids, small phenolic acids) and improve markers human gut health (e.g. intestinal permeability and inflammation). This position will generate new data on the gut health
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people’s digital engagement, brain development and wellbeing, combining classroom-based EEG data collection, smartphone-derived measures, and secure linkage to health and education records through the
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literature review is likely to be required. Patient-public engagement is essential. You will have relevant assessing and extracting data for patients with a range of connective tissue diseases, expertise
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the National Pig Centre, e.g. through analysis of samples and data. You will work with Associate Professor Dr Christine Bosch (PROFEED lead) and Dr Alan Javier Hernandez Alvarez, and colleagues at
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Freedom of information Research Fellow in Health Epidemiology Are you an ambitious researcher looking for your next challenge? Do you have a background in epidemiology, health data science, or public
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human gut health (e.g. intestinal permeability and inflammation). This position will generate new data on the gut health properties of new and alternative proteins and in collaboration with other NAPIC
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methods and a proven ability to structure, manage and work with quantitative data. You will be able to evidence designing and undertaking research, and contributing to a wider research programme; with
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or related methods, and experience with setting up pipelines for cryoET data processing and/or FIB milling. Experience with in situ structural biology is essential. The Astbury Centre for Structural
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will integrate theoretical understanding, observational data, and modelling approaches to improve representation of these processes, ultimately contributing to improved prediction of extreme monsoon