Örebro University, Sweden

Research Theme

Computational analysis of metabolomics and environmental exposure data

Project Description

This project aims to develop and apply computational methods to understand how environmental exposures shape metabolic profiles and biological responses. The postdoctoral researcher will work with large-scale datasets to uncover patterns relevant to human health and environmental sciences.

The position combines method development with applied data analysis and offers strong opportunities for interdisciplinary collaboration.

Methods & Approaches

• Computational data analysis

• Metabolomics and exposomics pipelines

• Statistical modeling and algorithm development

Funding & Duration

• Fully funded postdoctoral position

• Duration: 2 years

Candidate Profile

• PhD in computational biology, chemistry, bioinformatics, or related field

• Strong quantitative and programming skills

Desirable Experience

• Experience with omics datasets

• Background in environmental or health-related research

Application

Apply Here!

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