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). It has previously been shown that using the perturbation design greatly boosts the quality of GRN inference on bulk data. The aim is to leverage this principle and develop new technology to unleash
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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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Umeå University, Faculty Office of Medicine Umeå University is one of Sweden’s largest higher education institutions with over 41,500 students and about 4,600 employees. The University offers a
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of LNPs under various storage conditions, the aim is to develop formulations with both high performance and improved stability. The work includes the design and systematic screening of LNP formulations
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). It has previously been shown that using the perturbation design greatly boosts the quality of GRN inference on bulk data. The aim is to leverage this principle and develop new technology to unleash
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of approaching reconstruction and variability analysis. The project combines applied mathematics, computational imaging, and structural biology. You will develop algorithms, implement and test software tools, and
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instrumentation at the SciLifeLab laboratories in Solna and be involved in international cross-disciplinary collaborations. Qualification requirements In order to be admitted to postgraduate education, the