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research experience in phylogenomics. You should have a strong background in bioinformatics, statistical phylogenetics and comparative genomics. Previous experience of working with de novo assemblies and
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model design and analysis as well as statistical model parametrization and validation techniques. This Postdoc position is part of a five-year research program funded by the Wallenberg Foundation, aimed
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skills in English Documented ability to independently drive research and publish scientific results Good ability to work in teams Personal suitability Merits: Research experience on Bayesian statistics and
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of Computing Science , Mathematics and Mathematical Statistics , Molecular Biology , Plant Physiology and Clinical Microbiology . More information regarding accessible research infrastructure can be found here
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• Computational Science or Data Science • Compute-intensive Statistics or Applied Mathematics Proficiency in a relevant programming language, e.g., Matlab, Python, R, C/C++ is expected and practical or research
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programming languages (R, MATLAB, or Python) is required. Based on the project match, experience in PK/PD and ODE-based modeling or in statistics and machine learning is required. Basic experience of laboratory