20 linked-data-"https:"-"https:"-"https:"-"https:"-"Cirad" Fellowship positions at University of Leeds
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data science, or a related discipline, with a proven record in writing for publication. They will have experience of analysing large, linked health and social care datasets using advanced
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, matrix product state and neural quantum state methods, as well as quantum simulations). Some of our recent papers relevant to the position include: https://arxiv.org/abs/2011.01955 https://arxiv.org
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: https://arxiv.org/abs/2411.15299 https://arxiv.org/abs/2506.22539 https://arxiv.org/abs/2509.08036 https://arxiv.org/abs/2512.25054 https://arxiv.org/abs/2608.07655 What we offer in return 26 days
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papers relevant to the position include: https://arxiv.org/abs/2011.01955 ; https://arxiv.org/abs/2107.10267 ; https://arxiv.org/abs/2111.10395 ; https://arxiv.org/abs/2301.04169
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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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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