You are here
Job offer for PhD position in bioinformatics at the Medical University of Graz
Multi-omics approach to decipher the chromatin and transcriptional landscape of fasting Frame work: The PhD candidate will work with a highly motivated team in the research group of Andreas Prokesch at the Medical University of Graz (MUG) in Austria. The MUG provides an interdisciplinary environment with a strong life science research focus, underscored by the existence of three research centers and eight core facilities. Embedded in the Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, the group is well connected at the MUG (also with clinical researchers), with local universities, and has a strong international research network (collaborations with Germany, USA, France, Spain, Netherlands, Italy). The PhD thesis will be conducted within the frame of the PhD program Molecular Medicine offering a strong life science curriculum (in English), an annual DocDay symposium, and extracurricular activities. Project topic: While the long-term health benefits of periodic fasting are well known, the underlying cellular and molecular mechanisms remain largely enigmatic. The PhD candidate will work on a project that seeks to identify fasting-mediated molecular mechanisms through analysis of datasets from state-of-the-art next-generation sequencing methods (PRO-seq, ATAC-seq, single cell RNA-seq). We aim to explore how the transcriptional and epigenetic landscapes change during fasting and how this correlates with long-term beneficial effects of fasting. In addition to elucidating the underlying molecular mechanisms, detailed bioinformatics analyses will aid in the discovery of potential biomarkers and therapeutic targets related to fasting.
Expected skills: Appropriate candidates should hold (or be close to attaining) a Master degree in the area of bioinformatics, biostatistics, computational science, omics data analysis, or similar, and have fundamental knowledge about (cell) biology. The main focus and passion of the candidate should lie in the development and application of cutting-edge bioinformatics tools to synthesize knowledge about biological systems from omics data. In that sense, the candidate should have experience with programming languages and suites used in life science research (most importantly: R, but also Python, Perl, and data base languages). Knowledge about biostatistics and/or machine learning is advantageous and good English skills are required.
The PhD position is financed for at least three years through a grant from the Austrian Funding Agency (FWF), with a salary according to agency’s standards for doctoral candidates (https://www.fwf.ac.at/en/research-funding/personnel-costs). Appropriate candidates are invited to submit their motivation letter, CV, and two recommendation letters directly to: email@example.com