Funded PhD positions in Life Sciences : Join an exciting research project led by Advisor Luisa Pallares at the Friedrich Miescher Laboratory, focusing on unraveling the genetic basis of phenotypic robustness in complex traits. This project addresses fundamental questions in evolutionary biology, exploring the interplay between phenotypic robustness and evolvability in response to environmental perturbations.
Designation: Researcher
Research Area: Genetic basis of phenotypic robustness in complex traits, with a focus on wild-derived Drosophila melanogaster populations.
Location: Friedrich Miescher Laboratory
Eligibility/Qualification:
- Bachelor’s or Master’s degree in biology, genetics, or a related field.
- Experience in experimental evolution, bioinformatic analysis of genomic datasets, multivariate statistics, geometric morphometrics, and transcriptomics is advantageous.
- Strong interest in evolutionary biology and genetics.
- Ability to work independently and collaboratively.
Job Description:
Research Position – Unraveling the Genetic Basis of Phenotypic Robustness
The successful candidate will collaborate with Advisor Luisa Pallares to define and execute a specific project addressing key questions related to phenotypic robustness. Utilizing wild-derived fly populations, the research will involve experimental evolution, generation and bioinformatic analysis of large genomic datasets, multivariate statistics, geometric morphometrics, and transcriptomics. The project aims to uncover the regulatory mechanisms governing phenotypic robustness, assess the genetic underpinnings, and explore how robustness influences variability in different phenotypes.
How to Apply: Interested candidates should follow these steps:
- Check the eligibility requirements.
- Familiarize yourself with the application process and review the Frequently Asked Questions.
- Register to apply and complete the application form.
For more information about Luisa Pallares’ research and recent publications, visit her faculty page.
Last Date for Apply: Application deadline is 29 January 2024. Ensure that your application is submitted by this date to be considered for this exciting research opportunity.
