Publisher
source

Aarhus University

PhD in Plant Computational Biology Aarhus University in Denmark

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Expired

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Country

Denmark

University

Aarhus University

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Keywords

Computer Science
Machine Learning
Evolutionary Biology
Deep Learning
Biology
Mathematics
Computational Biology
Comparative Genomics
Python Programming
Statistics
Bioinformatic
Programming Language

About this position

PhD position in plant computational biology at Aarhus University (QGG / related research environment), with supervision from Professor Torben Asp and Assistant Professor Irene Julca. The project sits at the intersection of bioinformatics, computational biology, plant genomics, evolutionary biology, and comparative genomics, and is a strong fit for candidates with quantitative and programming skills.

Applicants should have a relevant Master’s degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field. The post specifically asks for Python or R programming experience, and it is a plus to have familiarity with machine learning or deep learning. Strong written and spoken English is required, along with a clear interest in plant genomics and related evolutionary questions.

The application is submitted through the ResearchPlanner portal. The deadline is 31 May 2026, 23:59 CEST, and the preferred starting date is 1 September 2026. For questions about the position, contact [email protected] or [email protected]. For application requirements and mandatory attachments, consult the application guide or email [email protected].

Funding details

Available

What's required

Applicants must hold a relevant Master’s degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field. Required/preferred skills include programming in Python or R, familiarity with machine learning or deep learning methods, interest in plant genomics, evolutionary biology, or comparative genomics, and proficient written and spoken English communication skills.

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