Postdoc in Computational Biology: The Department of Molecular Medicine at the University of Southern Denmark (SDU) is seeking applications for a Postdoc position in Computational Biology. This role offers a unique opportunity to engage in multidisciplinary research focused on genomics, bioinformatics, and AI-driven systems modeling to unravel the molecular mechanisms of cellular aging and resilience.
Designation: Postdoctoral Researcher
Research Area:
Computational Biology, Genomics, Bioinformatics, Aging Biology, Machine Learning
Location:
Odense M, Denmark
Eligibility/Qualification:
- Ph.D. in Bioinformatics, Computational Biology, Systems Biology, or a related field.
- Proven experience in analyzing single-cell or spatial omics datasets.
- Strong programming skills in Python and/or R.
- Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
- Excellent problem-solving, organizational, and communication skills.
- Ability to work independently and as part of a team.
Preferred Qualifications:
- Experience with graph-based AI models, multi-omics data integration, or network inference.
- Background in epigenomics, gene regulation, or aging biology.
- Interest in applying AI to biological systems and contributing to data-driven hypothesis generation.
- Familiarity with Linux-based computational environments or high-performance computing clusters.
Job Description:
The selected candidate will be responsible for:
- Developing and implementing analytical pipelines for large-scale single-cell, spatial, and multi-omics data integration.
- Building and applying machine learning and AI-based models to identify key regulatory networks related to inflammation, aging, and regeneration.
- Collaborating closely with experimental biologists, clinicians, and computational partners both in Denmark and internationally.
- Contributing to scientific publications, conference presentations, and supervising students.
- Participating in collaborative grant proposals and interdisciplinary project development.
How to Apply:
Interested candidates should submit their applications electronically in English using the “Apply now” link. Applications must include:
- A letter stating interest, motivation, and qualifications (max. 2 pages).
- A detailed CV, including personal contact information and details of 3 referees.
- A complete and numbered list of publications.
- Degree certificates (including documentation of master’s and PhD degree).
- Up to 3 scientific peer-reviewed publications considered most significant by the candidate for this position.
Last Date for Apply:
November 30, 2025, at 23:59 hrs. CET.
Join us in decoding the molecular networks that drive aging and resilience at SDU!
