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fellow in data-driven cell and molecular biology. For more information about us, please visit: DBB and MBW Data-driven life science (DDLS) uses data, computational methods and artificial intelligence
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developing computational methods, analyzing complex datasets, and contributing to integrative omics efforts in close collaboration with researchers from various disciplines. The roles offer significant
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. At Umeå University, everything is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and
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, which promotes a dynamic and open culture where we rejoice in each other’s successes. Together with SciLifeLab and in collaboration with the Wallenberg Centre for Molecular Medicine (WCMM
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how developmental dynamics can both open up and restrict evolutionary possibilities, and how this knowledge can help us better understand, predict, and even influence evolutionary change. We approach
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/checkQC ), nf-core pipelines (https://nf-co.re/ ), and Nextflow. Are you interested in working close to cutting-edge research and supporting a broad scientific community? Do you thrive in a dynamic and
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”. Qualification requirements Required Academic degree in Bioinformatics, Computer Science, Biotechnology or similar. Programming experience, preferably using Python or Javascript. Basic knowledge of version control
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unique spatial organization and dynamic properties. We study the filamentous bacterium family of Streptomyces, the in vitro assembly of cytoskeleton proteins and the cellular localization polarisome and
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project to study genetic regulatory variation and its link to molecular, cellular and organismal phenotypes using a systems genetics approach. The project is fully computational, and potential approaches
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in a creative, international, and dynamic environment. Read more about what it’s like to work at KTH and our benefits. Qualifications Requirements A university degree at the master’s level in