![]() Experience as systems administrator is desirable.Programming experience in other languages is of advantage (R, Python).Working knowledge of metabolic reconstructions and constraint-based modelling is of advantage.Experience with RedCap and Transmart is desirable.Experience with clinical data is desirable.Experience with Sencha and/or ExtJs is desirable.High motivation and interest in interdisciplinary work is required.Excellent working knowledge of English is required.Excellent communication skills are required.Demonstrable expertise in MySQL, Javascript, Python, D3.js.PhD in Computer Science, Software Engineering, Bioinformatics, or related fields.Any other duties assigned commensurate to this level of postĬandidates must meet the essential requirements at minimum, to be considered eligible for interview.Assist in maintenance of the group’s computing and software infrastructure.Participate at outreach activities, workshops, and tutorials demonstrating the VMH.Interact with national and international collaborators to ensure progress on the VMH development.Acquire necessary background knowledge on the metabolic reconstructions.Develop documentation and tutorials for the VMH.Respond to queries from the VMH user base.Identify & integrate novel tools and applications into the VMH framework.Integrate simulation and large-scale data display within the VMH database.Substantially expand the current VMH database with particular focus on data integration and visualisation.The successful candidate will lead the continuous development of the VMH database interface. Noronha et al, “ The Virtual Metabolic Human database: integrating human and gut microbiome metabolism with nutrition and disease”, Nucleic Acid Research, D1, 2019. The VMH targets researchers from all life science domains, including metabolomics, microbiome, and systems biomedicine.įurther information and suggested reading: We are continuously expanding the database content and its links to biomedical and clinical information. The Virtual Metabolic Human ( ) is a resource that contains the most recent version of Recon, a global reconstruction of the human metabolic network, a gut microbiota resource of more than 800 reconstructions, information for more than 250 diseases and their connections with the human reconstruction, a gene-phenotype map for Leigh Syndrome to be used by clinicians, visualisation of metabolic networks with ReconMaps, and a nutrition resource that allows researchers to model the metabolic effect of different diets. This position is available immediately until, with the option for extension. Ines Thiele, at the University of Galway, Ireland. Applications are invited from suitably qualified candidates for a full-time fixed term contract position as a Postdoctoral Researcher in the Molecular Systems Physiology Research group, led by Prof.
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