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bioinformatics, physics, statistics, computer science, computational biology, or related fields. Experience programming in Python (or R) as well as bash/shell scripting. Experience with machine-learning and deep
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into consideration. The applicant should have good knowledge of automatic control, optimal control, statistics, and optimization. Furthermore, good programming skills are required, including Python and C++, and
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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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to formalize a biological question into a computational model. Merits: Computational genomics, medical statistics, computational biology and/or imaging analysis. Experience with NGS (10x platform, Smart-Seq
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publish scientific results Good ability to work in teams Personal suitability Merits: Research experience on Bayesian statistics and model adequacy Experience with development of R packages Familiarity with
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qualifications relating to the scientific area of the position Experience with independent planning, execution and evaluation of experiments, including statistical analysis Familiarity with theory and techniques
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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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consultations with the successful candidates, based on where their research best fits. Potential host departments include Department of Computing Science , Mathematics and Mathematical Statistics , Molecular
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consultations with the successful candidates, based on where their research best fits. Potential host departments include Department of Computing Science , Mathematics and Mathematical Statistics , Molecular