Multiple postdoc positions are available in the areas of Computational Biology at the Influenza Systems Biology Laboratory, which is affiliated across Department of Molecular Microbiology and Immunology, School of Medicine, Department of Electrical Engineering and Computer Science, College of Engineering , Department of Veterinary Pathobiology, College of Veterinary Medicine, and Informatics Institute at the University of Missouri-Columbia. The lab is physically located in the Bond Life Science Center. The mission of this lab is to study ecology, evolution, and host-pathogen interactions for emerging and re-emerging infectious diseases, especially influenza viruses by developing and applying integrated, multi-scale, and evidence-based approaches that combine laboratory, clinical and computational methods. The responsibilities of the position are to develop and apply computational algorithms to predict phenotypes (e.g. antigenicity, replication ability, receptor binding preference, transmission risks, and pathogenesis risks) of influenza viruses using genomic sequences, to design influenza antigens, and/or to study evolutionary pathways of influenza viruses.
This position requires a Ph.D. in Computer Science, Bioinformatics, Virology, Microbiology, Biological Sciences, Molecular Biology, Infectious Diseases, or a related field. US citizenship is not required. Basic programming skills are required. Prior experience in machine learning is preferred but not required.
To view more details and apply for a position, visit hrs.missouri.edu/find-a-job/academic/, complete application and upload Curriculum vitae and list of references. Current employees will sign in to access their myHR account, if not an existing user, select the Prospective Employees link to create one. Job ID 29347 (Postdoc in Computational Biology).
Benefit Eligibility: This position is eligible for University benefits. The University offers a comprehensive benefits package, including medical, dental and vision plans, retirement, and educational fee discounts. For additional information on University benefits, please visit the Faculty & Staff Benefits website at www.umsystem.edu/totalrewards/benefits. An Equal Opportunity/Access/Affirmative Action/Pro Disabled and Veteran Employer.