A PhD position in computational evolutionary biology is available, focusing on understanding the impact of gene flow during species divergence. The project seeks a motivated student proficient in computational biology or biostatistics to develop advanced models and methods for analyzing large phylogenomic datasets. The position is based at the University of Veterinary Medicine Vienna, affiliated with the Vienna Graduate School of Population Genetics.
Summary Table:
| Position | PhD in Computational Evolutionary Biology |
|---|---|
| Location | University of Veterinary Medicine Vienna |
| Study Area | Computational Biology, Biostatistics |
| Deadline | May 30th |
| Salary | 14 times a year |
Study Area: The research focuses on computational biology and biostatistics, exploring the impact of gene flow during species divergence using advanced computational methods.
Scholarship Description: The project aims to develop more realistic models and computationally efficient methods for analyzing extensive phylogenomic datasets, utilizing the widely-used software RevBayes. Research will draw insights from various organisms, investigating the evolutionary significance of gene flow, its prevalence across genomes, and its interplay with natural selection during species evolution.
Eligibility: Candidates should be proficient in at least one coding language and possess either an understanding of evolution and handling of genomic data or statistical inference skills.
Required Documents: Interested candidates should submit a brief CV and a one-page cover letter outlining their research experience and interest in the project to ruiborges23@gmail.com.
How to Apply: Interested candidates should submit their applications to ruiborges23@gmail.com, including a brief CV and a one-page cover letter. Applications will be evaluated on a rolling basis until the deadline on May 30th.
Candidates seeking further information can contact ruiborges23@gmail.com.
