-------- Original Message -------- Subject: PhD or Postdoc in Bioinformatics Date: Wed, 11 Feb 2015 19:46:34 +0100 From: Mario Albrecht <info@mario-albrecht.de> Open PhD and Postdoc positions in Bioinformatics Institute for Knowledge Discovery, Graz University of Technology, Graz, Austria Deadline: 28 February 2015 Contact: Prof. Dr. Mario Albrecht, Institute for Knowledge Discovery, Graz University of Technology, Graz, Austria, info@mario-albrecht.at Find further information on the open PhD and Postdoc bioinformatics positions at http://www.medbioinf.at and below! Note: Please send your application to info@mario-albrecht.at as well! Please forward this mail to your colleagues, thank you! Open full-time bioinformatics PhD student position for molecular network research until 28 February 2015, for details see http://mibla.tugraz.at/14_15/Stk_8/8.html#112 and as follows: Molecular networks and proteins are involved in many biological processes. Therefore, we aim at the development and application of computational network methods for the analysis and prediction of molecular interactions and their structural and functional changes due to sequence mutations. The mutations might occur in disease genes or bacterial and viral genomes. Based on the analysis results, we also want to develop innovative bioinformatics approaches for modeling pathways and their changes as well as for the design and prioritization of follow-up experiments. Open full-time bioinformatics postdoc position for integrative omics research until 28 February 2015, for details see http://bioinf.tugraz.at/images/Postdoc.pdf and as follows: Cancer is the leading cause of death and involves altered lipid metabolism. The rate-limiting enzyme in triacylglyceride degradation, the adipose triglyceride lipase (ATGL), might not participate only in lipid mobilization and degradation, but also in signaling pathways by generating lipid signaling molecules. Therefore, we aim at the large-scale elucidation of the functional role of ATGL in cancer progression using different omics strategies combined with computational approaches. Novel bioinformatics methods are developed for analyzing the data of molecular proteomics and metabolomics networks related to lipolysis in cancer.