Universitat Rovira i Virgili
2 weeks ago
Postdoctoral Researcher in Spatial Metabolomics and Mass Spectrometry Imaging Universitat Rovira i Virgili in Spain
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral research position; the post does not specify stipend amount or detailed funding terms, but indicates conditions are available through the application link.
Country
Spain
University
Universitat Rovira i Virgili

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About this position
🔬 Postdoctoral Researcher in Spatial Metabolomics at the Metabolomics Interdisciplinary Laboratory (MIL@b), Universitat Rovira i Virgili, Tarragona, Spain.
This opportunity is for researchers interested in mass spectrometry imaging, spatial metabolomics, spatial biology, analytical chemistry, bioinformatics, and biomedical research. The project focuses on developing and applying cutting-edge MALDI-MSI and DESI-MSI technologies to investigate tissue metabolism in health and disease.
Key tasks include developing and optimizing MSI workflows, sample preparation and matrix deposition, quantitative and high-throughput MSI methods, high-resolution spatial mapping of metabolites/lipids/small molecules, integration with histology and spatial transcriptomics, and computational workflows for imaging data processing, statistics, and biological interpretation.
The lab emphasizes interdisciplinary collaboration with clinicians, biologists, and data scientists, and offers access to state-of-the-art MSI instrumentation and computational tools. The post is explicitly advertised as a postdoctoral position.
Application details and conditions are available via the recruitment link provided in the post.
Funding details
Postdoctoral research position; the post does not specify stipend amount or detailed funding terms, but indicates conditions are available through the application link.
What's required
Highly motivated postdoctoral researcher with strong interest in spatial metabolomics, mass spectrometry imaging, spatial biology, and translational biomedical research. Experience or familiarity with MALDI-MSI and DESI-MSI, MSI workflow development, quantitative/high-throughput methods, histology integration, computational data processing, statistics, and biological interpretation is relevant. The post highlights collaboration with clinicians, biologists, and data scientists.
How to apply
Review the conditions and submit your application through the provided URV recruitment page. Use the application link in the post to access the full call details and instructions.
More information can be found here
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