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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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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 next generation of data-driven life
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Join MultiD Analyses AB and the University of Gothenburg to develop innovative bioinformatics and machine learning methods for RNA Fragmentomics, with the ambition to improve cancer care through
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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