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) and phenotypic data with artificial intelligence and machine learning techniques. Phenotypic data will include data from available strain collections with sequenced strains and information
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Preferably with a background in theoretical physics, statistical, soft or biological physics Experience with using inference/machine learning tools and basic programming is a plus As a university, we strive
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conferences. Act as daily supervisor of bachelor and master students during their internships and as teaching assistant to different courses (~10% of the overall PhD time). Requirements Specific Requirements
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