“Spatial-Temporal Network Inference for the Regulation of Root Nitrogen Uptake in Arabidopsis thaliana”
The successful candidate will join a collaborative research program that involves applying or developing new methods for modeling regulatory networks in plants (Arabidopsis thaliana). The research activity will be based in Santiago, Chile with strong collaborations with several physicists/bio-physicists (University Montpellier 2, France) and a research laboratory in experimental biology (INRASupAgro, Montpellier) in France. The candidate should be available for traveling to France during the postdoctoral contract.We aim to model gene regulatory networks to study the effect of external parameters such as nitrogen, carbon and/or oxidative stress on nitrogen nutrients uptake. The spatial-temporal behavior of these networks is a major aspect which will be addressed in close collaboration with ongoing experimental work and bio-statistical modeling.
The ideal candidate should have strong quantitative background (physicist, mathematician or biostatistician) and a strong interest in biological problems. The candidate is expected to be familiar or able to quickly learn different network reconstruction and modeling approaches. Previous programming and database experience is highly desirable, and knowledge on regulatory gene networks would be useful for a quick start of the project.
Candidates with a background in bioinformatics are welcome to contact us to discuss their profile.
Candidates should submit applications electronically to Rodrigo A. Gutiérrez (firstname.lastname@example.org) including curriculum vitae, a statement of research interests and at least 2 reference letters. Paper copies may also be sent to Departamento de Genética Molecular y Microbiología. P. Universidad Católica de Chile. Avda. Libertador
Bernardo O’Higgins 340. Santiago, Chile.
The position is available immediately and contract will be made for up to three years.
Review of applications will begin June 15, 2010 and will continue until a suitable candidate is identified.