PhD Studentship at Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany We are looking for a highly motivated PhD student within a research project in the field of gene regulatory network inference funded by the Interdisciplinary Centre for Clinical Research, Erlangen. The project's goal is to develop a method for gene network inference from temporal expression data with prior knowledge integration. The method will be first applied to the study of heart development in collaboration with the group of Prof. F.B. Engel, Institute of Pathology. Applicants should have successfully completed their Master's/ Diploma degree in bioinformatics, bioengineering, applied mathematics, or a related discipline. Good programming skills, strong interest in the biological interpretation of results, and good working knowledge of English are a requirement. Competence in genomics data analysis and/or statistical modeling would be a plus. Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), with more than 35,000 students and over 550 professors, is the second largest university in Bavaria and has a research-intensive focus. Research at the Institute of Human Genetics aims at elucidating the molecular basis of both monogenic and complex diseases and its findings are translated into everyday patient care. The position is vacant immediately and the payment will be on the basis of 50%/65% TV-L E13. FAU is an equal opportunities employer. Complete applications (including cover letter, CV, copies of degree certificates, and names of at least two references) should be submitted via email to Dr. Fulvia Ferrazzi, Institute of Human Genetics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Schwabachanlage 10, 91054 Erlangen, Germany, email: fulvia.ferra...@uk-erlangen.de Application deadline: 31st December 2013 Contact: Fulvia Ferrazzi, fulvia.ferra...@uk-erlangen.de
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