PhD Scholarship in Computational Biology: Join a fully-funded PhD position at Wageningen University to study the genome diversity of bacteriophages across different environments, unraveling the evolutionary factors influencing their diversity across space and time. This interdisciplinary research opportunity combines bioinformatics, comparative genomics, and mathematical modeling to explore the impact of phages on bacterial ecology and evolution.
Fully Funded PhD Scholarship in Computational Biology – Study of Bacteriophage Diversity
Designation: PhD Researcher in Computational Biology
Research Area: Genome Diversity of Bacteriophages, Computational Biology, Bioinformatics, Mathematical Modeling
Location: Wageningen University, Netherlands
Eligibility/Qualification:
- Successfully completed MSc degree in bioinformatics, evolutionary biology, applied mathematics, or related field
- Proficiency in programming (e.g., Python)
- Experience in high-throughput sequencing data analysis and comparative genomics
- Strong interest in developing skills in the aforementioned areas
- A proactive attitude, teamwork skills, and commitment to obtaining a PhD
- Excellent oral and written English skills
Job Description:
The successful candidate will delve into the diverse factors influencing phage diversity, including host diversity, presence of other phages, and environmental factors like spatial structure. The research will involve analyzing public phage genome and metagenome data to estimate phage diversity, as well as formulating mathematical and computational models of phage evolution to explain observed patterns of diversity. Additionally, the candidate will work under the supervision of experts in mathematical biology, evolutionary modeling, and bioinformatics, contributing to the refinement of models based on genomic data observations.
How to Apply:
Interested applicants can apply by uploading their CV and a motivation letter on the Wageningen University vacancy page. The first round of job interviews is scheduled for 5th September 2024.
Last Date for Apply:
Applications for this PhD position will be accepted until Monday, 26th August 2024.
