Post-doctoral position in the Tyson group
August 2, 2011 § Leave a comment
(this is a new one):
This position will involve collaborative research on developing approaches for computationally-driven experimental biology. The post-doctoral associate will develop graph-theoretic, machine learning, and data mining methods to analyze high-throughput datasets for the purpose of connecting top-down and bottom-up models of cellular regulatory networks
The research will involve developing models, algorithms, and software for these projects in order to prioritize new experiments and to incorporate data from the resulting experiments in order to refine the computational approaches. The associate will have opportunities to collaborate with faculty in the Departments of Computer Science, Biological Sciences, Chemical Engineering, Biochemistry, the Virginia Bioinformatics Institute, and the Center for Systems Biology of Engineered Tissues at Virginia Tech. The associate will be expected to contribute significantly to these research projects, to prepare the results for publication and presentation, to help supervise graduate and undergraduate students, and to contribute to grant proposals.
Ph.D. in computer science, bioinformatics, systems biology or a related field of science and engineering, with a strong computational background.
– Track record of publications in bioinformatics, computational biology, or systems biology.
– Expertise in graph algorithms, machine learning, data mining, or network biology
– Creativity, independence, and high motivation for interdisciplinary research
– Excellent communication skills
– Strong work habits and the ability to work independently as well as within a research group
– Evidence of good project management skills
How to Apply
Apply online at http://www.jobs.vt.edu, posting 0110466 and attach CV, cover letter, and a list of professional references.
Also, please contact John Tyson directly by email: email@example.com.