Postdoc: AI for Plant Gene Regulation & Expression

THE SOCIETY FOR EXPERIMENTAL BIOLOGY; Aarhus; On-site; DKK 320,000 - 460,000; Full time

Job summary

The Center for Quantitative Genetics and Genomics (QGG) at Aarhus University invites applications for a postdoctoral position in plant regulatory genomics and artificial intelligence. You will design sequence-to-expression deep learning models to predict gene expression from DNA in plants and will spend 6–12 months at Cold Spring Harbor Laboratory, integrating plant genomics with AI expertise.

The role focuses on data science and regulatory genomics in a model plant species, with a 2‑year

Qualifications

• PhD in computer science, bioinformatics, or related field.
• Experience in deep learning and AI for genomics.
• Publications in peer‑reviewed journals on AI/genomics.

Responsibilities

• Design sequence-to-expression deep learning models to predict plant gene expression from DNA sequences.
• Collaborate with Koo lab at CSHL and leverage new training data and architectures.

Skills

Deep learning research

English communication

Education

PhD in computer science, bioinformatics, or related field

Job description

The Center for Quantitative Genetics and Genomics (QGG) at Aarhus University invites applications for a postdoctoral position in plant regulatory genomics and artificial intelligence. You will design sequence-to-expression deep learning models to predict gene expression from DNA in plants and will spend 6–12 months at Cold Spring Harbor Laboratory, integrating plant genomics with AI expertise.

The role focuses on data science and regulatory genomics in a model plant species, with a 2‑year