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well as the efficacy of the live rotavirus vaccines. In this project we will combine evolutionary analyses, historical data, and functional organoid studies in a multidisciplinary approach. By performing analysis
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, fundamental and strategic plant biology research is conducted on wild species, agricultural crops, forest trees, bioenergy crops, and model organisms. Our main research areas include genome analysis
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analysis. Depending on the interests of the PhD student, there will be opportunities to incorporate isotope tracing, multivariate trait analysis, and evolutionary or phylogenetic approaches. The project is
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in English, both written and spoken Ability to work independently Desirable qualifications Experience with systematic reviews and meta-analysis Knowledge of soil health indicators and soil assessment
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position within a Research Infrastructure? No Offer Description Description of the workplace Within the Centre for Analysis and Synthesis (https://www.cas.lu.se/ ) at the Department of Chemistry, we conduct
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, volumetric analysis, and modeling of structural heterogeneity in biological macromolecules. Rather than only applying established workflows, you will explore new computational formulations and alternative ways
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to development of novel, innovative metal- and organocatalysis in organoboron chemistry for synthesis of chiral target molecules. See the group website www.organ.su.se/ks/ for more information about the group
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for laboratory safety. experience with basic IT tools for data analysis, documentation, and scientific writing (e.g., ChemDraw, Origin, or similar software) is beneficial. prior laboratory experience in synthetic
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they are transmitted through populations. Research will have a strong focus on computational analysis or predictive modelling of pathogen biology or host-microbe systems for which multidimensional, genome-scale
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shape approaches to psychiatric diagnoses among researchers, the general public, clinicians, as well as patients and relatives. The research may combine, for instance, large-scale digital text analysis