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Aarhus University

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PhD in Environmental Genomics and Pollinator Ecology Aarhus University in Denmark

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD student position supported by a Villum Fonden Young Investigator project.

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Country

Denmark

University

Aarhus University

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Keywords

Computer Science
Environmental Science
Biology
Conservation Biology
Biodiversity
Pollination Biology
Freshwater Ecology
Statistics
Environmental Dna
Bioinformatic

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About this position

PhD opportunity at Aarhus University in Environmental Genomics and Pollinator Ecology. The project sits within the Centre for Nature-based Solutions and Institut for Ecoscience, and is part of a Villum Fonden Young Investigator project.

The research combines environmental DNA (eDNA), DNA metabarcoding, pollinator ecology, biodiversity monitoring, freshwater ecology, AI-assisted image-based monitoring, and ecological/bioinformatic analyses. The successful candidate will join an interdisciplinary team and work with an international network of collaborators.

This is a fully funded PhD position. Applicants with backgrounds in ecology, conservation biology, molecular ecology, environmental science, bioinformatics, or related fields are encouraged to apply.

If you are interested in biodiversity science, pollinator health, freshwater habitats, and genomics-based ecological monitoring, this could be a strong fit. The post does not mention a deadline in the text provided.

Funding details

Fully funded PhD student position supported by a Villum Fonden Young Investigator project.

What's required

Candidates with backgrounds in ecology, conservation biology, molecular ecology, environmental science, bioinformatics, or related fields are encouraged to apply. The post seeks a PhD student interested in biodiversity science, pollinator ecology, environmental DNA, freshwater ecology, AI-assisted monitoring, and ecological/bioinformatic analyses.

How to apply

Use the linked PhD position page to find the application details and submit through the Aarhus University recruitment process. Review the project description and prepare an application aligned with ecology, molecular ecology, bioinformatics, or related experience.

More information can be found here

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