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new flagship research program aiming to to map the molecular structure and function of single human cells in time and space and create AI-based models to predict human cells. It is funded by the Knut
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strategy and organizational structure of the program in close collaboration with the Scientific Directors Prof. Jan Ellenberg and Prof. Mathias Uhlén. Coordinate and monitor research activities, recruitments
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year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS
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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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to the advancement of precision medicine in oncology. A typical workday may involve writing and running code to pre-process sequencing data on a compute server, applying statistical models and algorithms to construct
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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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, computer science or a related subject the employer considers of relevance to the position. Experience (3+ years) in working with advanced bioinformatics analyses of omics data from high throughput
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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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information about us, please visit: the Department of Biochemistry and Biophysics . About the DDLS PhD student program Data-driven life science (DDLS) uses data, computational methods and artificial