Fully-Funded PhD Researcher Opportunity in Eco-Evolutionary Modelling
hace 6 días
Job Title: Fully-Funded PhD Researcher Opportunity in Eco-Evolutionary Modelling
Job Summary: We are seeking a highly motivated and skilled PhD researcher to join our team at ICTAN-CSIC in a fully-funded PhD research opportunity in eco-evolutionary modelling. The successful candidate will have the opportunity to work on reconstructing Earth's biodiversity history and shaping its future.
Key Responsibilities:
- Refine existing eco-evolutionary models to better understand biodiversity dynamics.
- Test hypotheses on biodiversity hotspot dynamics using advanced statistical and computational techniques.
- Contribute to scientific publications and develop a web application to share research findings.
Requirements:
- Master's degree in mathematics, physics, biology, marine sciences, or related fields.
- Proficiency in programming languages (R, Matlab, Python).
- Fluent in English (written and spoken).
About the Project: The INDICiOS project is a leading research initiative in marine science, and this PhD research opportunity is a unique chance to contribute to its success. As a PhD researcher, you will be part of a dynamic team working on cutting-edge research in eco-evolutionary modelling.
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Barcelona, Barcelona, España ICTAN-CSIC A tiempo completoJob Title: Fully-Funded PhD Researcher Opportunity in Eco-Evolutionary ModellingJob Summary: We are seeking a highly motivated and talented PhD researcher to join our team at ICTAN-CSIC in a fully-funded PhD research position in eco-evolutionary modelling and marine biodiversity.Key Responsibilities:Refine existing eco-evolutionary models to better...
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Barcelona, Barcelona, España ICTAN-CSIC A tiempo completoJob Title: Fully-Funded PhD Researcher Opportunity in Eco-Evolutionary ModellingJob Summary: We are seeking a highly motivated and talented PhD researcher to join our team at ICTAN-CSIC in a fully-funded PhD research position in eco-evolutionary modelling and marine biodiversity.Key Responsibilities:Refine existing eco-evolutionary models to better...
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