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Field
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objective of the project is to understand the underlying soil physical and microbial mechanisms governing changes in soil organic carbon stocks and greenhouse gas emissions under different types
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blood to identify circulating factors that are present in Fontan patients with abnormal vascular physiology. The project will involve significant bioinformatics including patient clustering by high
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to quantum physics. This project is part of an interdisciplinary research program. The successful candidate will join a collaborative team where bioinformaticians and experimentalists work closely together
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expert experience in bioimaging, cuticular biochemistry, transcriptomics and bioinformatics, will provide bespoke training and advice at different stages of the project.Supported by this team, the student
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, engineering, bioinformatics, machine learning, artificial intelligence) to support minimally invasive and targeted preventive and predictive medicine capable of limiting age-related functional disorders