Postdoc: Host-Microbiome Multi-Omics & Graph DL

Syddansk Universitet; Odense; On-site; DKK 469,000 - 603,000; Full time

Job summary

Syddansk Universitet invites applications for a Postdoc in Host-Microbiome Multi-omic Data Science. The position is 3 years with extension possibility, focusing on research, teaching, and professional development within host-m microbiome multi-omics projects.

The successful candidate will enhance deep learning models, collaborate across international partners, and explore graph-based methodologies to interpret complex multi-omics data for health research.

Qualifications

• The candidate must have a PhD in a relevant field and strong software development experience.
• Experience with machine learning and statistical analysis is required.
• Excellent programming skills and familiarity with deep learning frameworks.

Responsibilities

• Improve and expand current deep learning approaches for multi-omics data.
• Lead and participate in data science projects within consortia and groups.
• Collaborate with clinicians, veterinarians, biologists and bioinformaticians.
• Develop novel methods including graph-based approaches like graph neural networks.

Skills

Programming (Python, PyTorch, TensorRT

Machine learning & deep learning

Team collaboration

English communication

Education

PhD in CS/Math/Physics/Bioinformatics/Biology

Tools

Python

NumPy

PyTorch

TensorFlow

Job description

Syddansk Universitet invites applications for a Postdoc in Host-Microbiome Multi-omic Data Science. The position is 3 years with extension possibility, focusing on research, teaching, and professional development within host-m microbiome multi-omics projects.

The successful candidate will enhance deep learning models, collaborate across international partners, and explore graph-based methodologies to interpret complex multi-omics data for health research.