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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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, molecular and population genetics, genomics, conservation, and behavior. More information about us, please visit: the Department of Zoology . SciLifeLab is a national research infrastructure. In Stockholm
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like computational complexity of algorithms. It’s also fairly common that we need to drill down into the code for some tool to figure out what’s wrong, so being able to read and understand code is
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these transcripts into protein sequence databases. Guide the development of proteogenomics through implementation of novel algorithms and computational analysis infrastructure Development of tools to support clinical
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qualifications Experience with working with DNA data at a core facility, population genetics and development of tools for analysis of DNA data, and with project coordination (including systems for project
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medicine, focusing on the onset of disease and how we can improve diagnostics and treatment for patients. Some of our strongest areas with world-class research deal with cancer, genetics and blood. We kindly
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understanding of how the genetic code specifies binding rates and affinities for interacting molecules. Despite the significance of these interactions, quantitatively predicting binding from nucleotide or protein
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areas with world-class research deal with cancer, genetics and blood. We kindly decline all sales and marketing contacts.
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gene editing, dynamic enzyme regulation, as well as screening of genetic libraries. The project will also make use of systems biology data, such as genomics and proteomics, to achieve these goals
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, preferably in the public sector or academia. Understanding of bioinformatics, specifically in analyzing human genetic data. Familiarity with systems for sensitive data and/or processing of special categories