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microbial interactions, metabolism, ecology, and (meta-)genomics. This is what you will do The focus of this project is on the inference of causal relationships based on microbiome, metabolome, transcriptome
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using advanced bioinformatics and models. Specially, the postdoc will use our globally collected meta-omics data to understand controls, population dynamics, and ecosystem impact of marine microbiomes
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Microbial (meta)genomics and Bioinformatics. The successful candidate will bring a strong academic background and a commitment to developing and delivering an innovative postgraduate programme and short
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), and HPC schedulers. Profile The ideal candidate will have at least a PhD or equivalent in Bioinformatics, Computational Biology, Computer Science, Applied Statistics or a related field. The candidate
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our expertise in bioinformatics and metagenomic analysis we offer hands-on clinical experience through cohort studies. These include cross-sectional and longitudinal cohorts, time-series intervention
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. Beyond our expertise in bioinformatics and metagenomic analysis we offer hands-on clinical experience through cohort studies. These include cross-sectional and longitudinal cohorts, time-series
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://www.biorxiv.org/content/10.1101/2024.11.13.623458v1.abstract , https://www.nature.com/articles/s42256-024-00821-x , https://www.nature.com/articles/s42256-021-00368-1 ) or executing large-scale meta-analyses
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nanoparticles for applications in nanomedicine, animal-derived food safety, and human health risk assessment; (2) collection and meta-analysis of pharmacokinetic and tissue distribution data of nanoparticles in
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learn (alongside disciplinary skills) broadly useful meta-skills of interdisciplinary contextualisation, analysis, problem-solving and critical thinking. The recruit will be responsible for setting up
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experimental research line in plant-microbe interactions, in particular on plant pathogen resistance in horticultural crops, using state-of-the art approaches such as (meta)genomics, (meta) transcriptomics