Description :

We are seeking an enthusiastic candidate who is interested in developing computational algorithms to solve problems in Systems Biology of gene regulation. Possible topics to work on include: i) identification of functional DNA elements using epigenetic signatures; ii) modeling of the combinatorial effects of transcription factor binding, nucleosome occupancy, and chromatin modifications on gene expression; iii) network-based approach to identifying new disease genes and disease-related sub-networks. The long-term objective of our research is to understand how the different processes controlling gene expression are coordinated in the cell, which will deepen our knowledge of healthy and disease development. The prospective postdoctoral fellows will have ample opportunities to collaborate with internationally recognized biomedical scientists at the University of Iowa Carver College of Medicine in the investigation of human diseases, such as heart failure and cancer. The applicants should have a Ph.D. degree in computational biology or a related discipline (computer science, statistics, biology, physics, and mathematics). Strong computer programming (perl/python, C/C++, Java, Matlab, R) and analytical skills are essential. An established track record (as evidenced by publications in peer-viewed journals) in biological sequence and network analyses is a significant plus. Contact Information University of iowa Biomedical engineering and internal medicine Kai Tan http://www.medicine.uiowa.edu/Labs/tan/ How To Apply: E-mail