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for gastrointestinal (GI) infections. Current PCR methods are limited by detecting only pre-specified targets. Leveraging shotgun metagenomics and advanced bioinformatics, this project will establish the evidence base
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/Biostatistics, Data Science, Life and Social Sciences or Medicine (with substantial component and/or experience in quantitative methods), Applied Mathematics, Computing, Quantitative biology, Bioinformatics
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, particularly MRI, medical physics or computational data analysis (Python/R/MATLAB, machine learning, or bioinformatics) is highly desirable. Interested candidates should send a CV to michael.chappell
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physics or computational data analysis (Python/R/MATLAB, machine learning, or bioinformatics) is highly desirable. Interested candidates should send a CV to michael.chappell@nottingham.ac.uk . Applications
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represent the research group at external seminars and conferences. To be considered, you must hold a PhD/DPhil in statistical genetics, quantitative genetics, bioinformatics, computer science, statistics
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chem- and bioinformatics to computer vision and social network analysis. Machine learning with graphs aims at exploiting the potential of the growing amount of structured data in all these areas
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PhD Studentship: Subcortical brain development and disorders, funded PhD at the University of Exeter
transcriptomics approaches combined with bioinformatics analyses. The project will focus on the emergence of diverse cell-type at critical points of brain development and identify molecular mechanisms underlying
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. This project will rely heavily on computational analyses, so experience on bioinformatics/informatics is required. The student will receive extensive training in big-data analysis, genome-wide/species-wide
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collected regularly from sewage-impacted rivers and from properties affected by flood events. Data will be analyses using advanced bioinformatics to characterise community structure, resistance genes and
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library generation, structural biology, organic synthesis, high-throughput screening, mechanistic enzymology, bioinformatics and microfluidic engineering are advantages. Applications should contain a