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experience. Strong skills in experimental design and software development. “Reproducible research” and “FAIR data” are central concepts to us, and expertise in the development of reproducible code by using
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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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, manage infrastructure as code, and troubleshoot source code. If you have a solid foundation in Unix/Linux and are ready to dive into complex technical challenges, then you are the one we are looking
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code by using code sharing platforms, version control, workflow languages and container solutions is a merit. Terms of employment The employment is full-time and until further notice. Probationary
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to your office to focus on your code. You may end the day taking some time for fitness activity, at the campus gym or the nearby forest. Two times per year, you will have the opportunity to meet the
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, and expertise in the development of reproducible code by using code sharing platforms, workflow languages and container solutions is a strong merit. Consideration will also be given to how
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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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structures, etc to solve challenging problems is required (there will be a practical coding assessment during recruitment) A solid mathematical foundation is required (multivariable calculus, linear algebra
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dimensional structures of proteins impact codon choices in coding genes. The recruited doctoral student will develop methods to broadly study patterns of codon usage across organisms and apply large scale