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. In this PhD project, your duties: are interdisciplinary and require an interest in evolutionary biology, bioinformatics, computational/mathematical biology and genetics/genomics involve primarily
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will receive interdisciplinary training in bioinformatics, evolutionary genomics, and high-performance computing within the DDLS data-driven life science framework. Data-driven life science (DDLS) uses
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. You would be welcomed in the the Yant Lab (https://www.yantlab.net/ ) Using large-scale graph-based pangenomics and forward evolutionary simulations, the student will develop predictive models
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training in: genome biology and evolutionary genomics population genetics and conservation genomics computational analysis of large datasets The work will primarily be computational in nature, requiring
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evolutionary conservation, and central role in plant immunity through defense signaling and retrograde communication with the nucleus. This position offers a strong opportunity to expand advanced computational
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position This PhD project will focus on forest tree evolution, adaptation, and genetic diversity in forests of Sweden and beyond. You will gain training in: genome biology and evolutionary genomics
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, evolutionary, computational), applied mathematics, physics, computational science, statistics, or related field. In the appointment process, special attention will be given to: Documented ability to conduct high
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) Country Sweden Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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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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at the molecular and cellular levels to global processes at the ecosystem level. The subject is divided into a range of sub-disciplines and specializations. The PhD program at the Department of Biology includes many