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the human gut microbiome are poorly characterized at their molecular level, despite their important roles to keep a healthy state. The presence of pathogenic species or imbalances in the composition
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conditions, mycorrhizal colonisation and community composition, and spruce resistance against European spruce bark beetle attack. The project uses a simulated drought event, combining field studies, laboratory
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focuses on predicting cell type-specific responses to genetic alterations, identifying transcriptional signatures indicative of treatment sensitivity, and predicting the effects of the cell type composition
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. The project revolves around developing Traident – a new method to resolve the species origins and compositions of complex RNA sequence data. This will extend Kraken2 with analyses of ribosomal RNA and microRNA
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their properties including nutritional composition, bioavailability and bioaccessibility. The candidate needs to have a genuine interest in interdisciplinary research bridging between physico-chemical
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position The position provides you with the opportunity to pursue PhD studies in Computing Science for four years, with the goal of achieving the degree of Doctor in Computing Science. While the position is
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framework that integrates multiscale molecular dynamics (MD), AI and machine learning (ML) approaches, that together with biophysical characterisation techniques will advance the current state of lipid
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: Master’s degree in biomedicine or biostatistics. Doctor of medicine degree with clinical practice experience. Certified training in R and Python software. Documented experience using machine learning and
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the opportunity to pursue PhD studies in Computing Science for four years, with the goal of achieving the degree of Doctor in Computing Science. While the position is mainly devoted to PhD studies (at least 80% of
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in Computing Science for four years, with the goal of achieving the degree of Doctor of Philosophy in Computing Science. While the position is mainly devoted to PhD studies (at least 80% of the time