Predicting Genetic Susceptibility to Chemicals in Environmental Species

vor 17 Stunden


Dübendorf, Zürich, Schweiz EAWAG Dübendorf, Eidg. Anstalt für Wasser-, Abwasserreinigung & Gewässerschutz Vollzeit

Project Background: Chemical pollution threatens biodiversity of ecosystems, yet we know little about different species' genetic susceptibility to chemicals. Elucidating the relationship between chemical exposures and population genetics for diverse species is essential to protect genetic variability in ecosystems and determine an ecosystem's resilience and adaptation potential following chemical exposure.


Project Description: In this project, the postdoc will develop computational methods to help characterize and predict genetic susceptibility to chemicals for different species in an ecosystem. This project will focus on pesticide-induced neurotoxicity for D. rerio and C. elegans before expanding the predictive models to less well-studied species.


What You Need to Succeed: As a candidate for this project, you should have a strong background in programming, geospatial analysis, and data management. Knowledge in genetics and experience with adverse outcome pathways (AOPs) would be beneficial. A PhD in environmental sciences, toxicology, bioinformatics, or a similar field is required.



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