Modoante
DenmarkFull TimeScience & Research

Postdoctoral Researcher

Aarhus University | Capital Region of Denmark, Denmark | Salary not specified

Source: JobsPipe

Required Skills

communicationpythondata analytics

Role snapshot

Work model
On-site
Language
Not specified
Experience
Not specified
Posted
Posted 1 day ago
Application deadline
2026-10-31

What you'll do

You will be involved in metabolic and physiological studies to address metabolic organ communication in a cardiorenal-metabolic project. You will work with mouse models of human disease and perform phenotyping. In addition, you will utilize mass spectrometry (metabolomics, proteomics, chemical biology) to define metabolic targets. You will be the primary driver of the project, working independently with ample resources. This position offers a unique opportunity to combine your expertise in mouse metabolism with a willingness to learn and apply state-of-the-art mass spectrometry techniques, as well as develop or apply coding skills (R/Python) for large-scale data analysis. As Postdoc in cardiorenal metabolism your position is primarily research-based but may also involve teaching assignments. You will contribute to the development of the department through research of high international quality. In your daily work, you will work closely with colleagues on your project, where you will receive supervision and guidance. Your main tasks will consist of:

  • Independent research of high international quality, including publication in peer-reviewed journals.
  • Planning and conducting in vivo experiments in mouse models of metabolic and cardiovascular disease.
  • Phenotyping and analyzing mouse metabolism (e.g., glucose and lipid metabolism, energy expenditure, organ histopathology).
  • Implementing and applying mass spectrometry-based techniques (metabolomics, proteomics, chemical biology) to identify and characterize metabolic pathways and targets.
  • Data analysis and integration using R and/or Python, including statistical analysis, visualization, and multi-omics data handling in collaboration with the team.

Collaborating within an interdisciplinary team, including potential teaching or supervision responsibilities. You will report to the Markus Rinschen, Associate Professor.

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