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PhD position: microbial network inference and analysis platform Leuven Belgium,  

Posted on : 04 April 2017

Project Description

ProjectAn increasing number of large-scale sequencing projects studies the composition of microbial communities in environments ranging from the open ocean to the human gut. These projects often yield abundance estimates for thousands of operating taxonomic units over hundreds of samples and are accompanied by rich metadata on the environment and the sequencing protocol.Previously, a number of network construction techniques was developed and applied to these data sets to explore microbial community structure. However,these techniques often result in large networks, so-called "hairballs", which need to be further analysed to better understand the community under study. In this project, we will develop, implement and benchmark novel approaches to visualise, analyse and interpret these "hairballs", in order to gain biological insights from these challenging data sets.ProfielTwo types of profiles are acceptable:Background in informaticsgood knowledge of an object-oriented programming language, integrated development environment and modern version control systemat least basic knowledge of microbiology or ecologystrong interest in microbial ecologyBackground in biologygood knowledge of microbiology or ecologyat least basic knowledge of an object-oriented programming languagestrong motivation to improve programming skills


3000 Leuven Belgium

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