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managing and avaluating sequencing data Experience of quality work within ISO 17025 and use of LIMS systems Experience in bioinformatics, sequencing and working with large volumes of data (e.g. NGS data
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strong genetic component. In this newly started project, you will develop computationally efficient statistical methods for rare variant association analysis of large-scale whole-genome sequencing data
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mission For this, you will overall organise the data and metadata for the Consortium. You keep regular contact to the DoGA principal investigators and participate in consortium groups, organise and update
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study design and large-scale data management of studies with multiple data modalities including genetic data, molecular data, Swedish patient registry data and drug data. Previous experience of several
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. Division The postdoctoral project will be conducted in Maria Genander’s research group. More information about the Genander lab can be found here: http://ki.se/en/cmb/maria-genanders-group. Your mission
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gerontology (e.g., sociology, public health, social epidemiology, social work). The center has around 70 employees, it has a strong focus on research with unique research resources, such as large-scale
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of large datasets and the potential integration of different types of data. The postdoctoral researcher will be involved in all parts of the projects, ranging from generating research hypotheses, planning
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-modifying therapies (DMTs) using high-quality prospectively collected data from nationwide registries. Specifically, we plan to evaluate the long-term safety of MS DMTs in the general MS population, and in
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assistant to work in Erik Benson’s research group based at SciLifeLab campus Solna. The group focuses on using DNA nanotechnology to develop libraries of DNA structures with large diversity. We use
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Documented experience of epidemiological studies is required for the position. Experience of working with large databases of register and/or survey data as well as analyses in, e.g., SAS, STATA, SPSS, or R