We seek a highly motivated bioinformatician or computational biologist who is experienced in the computational analysis of large-scale biological data, ideally with a focus on metabolic modeling, for a project on the study of neurodegenerative disorders. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical or neuroimaging data), using statistical methods and pathway and network analysis methods. The candidate will conduct integrative analyses of metabolomics, clinial and other omics data for neurodegenerative diseases. This will include the review, set-up and application of software analysis pipelines, and the joint interpretation of disease-related data together with experimental and clinical collaborators. The project will use new biological high-throughput data from patients, healthy controls, as well as in-vitro and in-vivo disease models. With the help of statistics and pathway- and network- and analyses, the goal is to improve the mechanistic understanding of disease-associated alterations in common neurological disorders.
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