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to characterize developmental patterns from multi-omics data Developing and parameterizing mechanistic mathematical models describing microbiome-immune dynamics Applying Bayesian inference and model fitting
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death and to build a species-wide tolerance atlas linking genotype to phenotype and clinical outcome. The work will provide fundamental insights into bacterial biology and identify targets for improved
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(Bayesian) phylodynamics. A Master degree in computer science, bioinformatics, or a related field. Interest in working with an interdisciplinary and international team. We value an open and inclusive group
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candidate is at Hebelstrasse 20, 4031 Basel. Projects: Targeting on corpus luteum–derived endocrine signals in decidualization and endothelial function. In parallel we investigate the pathomechanisms
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recognized expertise in advanced statistical design—such as Bayesian adaptive trials and model-based decision-making—and bring a forward-thinking interest in AI/ML and real-world data applications. You are a
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molecules targeting major signaling pathways in cancer and inflammation. The working place of the successful candidate is the Department of Biomedicine at Mattenstrasse 28, 4058 Basel. Projects: Main focus
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the university, in particular through collaboration with Network and Priority Partners as well as relevant non-academic actors operating at the interface between science, policy, and diplomacy. Through targeted
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to phenotype and clinical outcome. The work will provide fundamental insights into bacterial biology and identify targets for improved therapies. You will generate and screen pooled CRISPRi libraries across
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Research focus: Molecular genetics in Arabidopsis to dissect key signaling components linking immune perception to metabolic regulation Phosphoproteomics and targeted metabolite analysis to identify
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design cycles. Execute a targeted experimental validation workflow (limited hands-on bench work): some routine mammalian cell culture, DNA cloning/construct handling as needed, transfection/transduction