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School Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
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environment “Aging Epidemiology” at MEB, which brings together researchers interested in aging from different fields, including twin studies, genetic and molecular epidemiology, and pharmacoepidemiology
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into how molecular relations shape health and disease in tissues. Yet, analytical tools capable of integrating multi-dimensional spatial data remain limited. The project objectives are to (i) develop tools
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, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the
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Institute checks the authenticity of your documents and reserves the right to revoke admission if supporting documents are discovered to be fraudulent. Submission of false documents is a violation of Swedish
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://www.yantlab.net/ ) Using large-scale graph-based pangenomics and forward evolutionary simulations, the student will develop predictive models of polyploid genome evolution across contrasting timescales. The student
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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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research in Europe. Research at UPSC covers a wide range of disciplines in plant biology including ecology, computational biology, genetics, physiology, biochemistry, cell biology and molecular biology (see
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The Department of Molecular Sciences at SLU in Uppsala has approximately 110 employees and, together with two other departments, forms an inspiring research environment at the BioCenter located
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industries: towards zero waste and a circular economy. The Department of Molecular Sciences, SLU, Uppsala consists of approximately 100 employees and, together with three other departments, forms an inspiring