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Un instituto de investigación biomédica en Cataluña busca un investigador postdoctoral altamente motivado para unirse a su grupo de investigación de vanguardia en la unidad de Ciencias Ómicas. El candidato se centrará en desarrollar enfoques innovadores en proteómica utilizando espectrometría de masas, especialmente investigando modificaciones postraduccionales en el contexto de la medicina de precisión. Se requiere un doctorado en un campo relacionado y experiencia en análisis proteómico basado en MS.
The Omics Sciences Unit at Eurecat https://eurecat.org/en/field-of-knowledge/omic-sciences/ is seeking a highly motivated and skilled post-doctoral researcher to join our cutting‑edge research group. Our team focuses on developing innovative metabolomics and proteomics approaches using mass spectrometry and applying them to biomedical research. We are particularly interested in understanding the impact of nutrition, gut microbiota, and environmental exposures (exposome) on human health and investigating interindividual variability in the context of precision medicine.
The research group has a strong track record of high‑impact publications and offers a collaborative and multidisciplinary environment with national and international research partners. The candidate will have the opportunity to work on state‑of‑the‑art research projects funded by competitive grants.
This position is part of the "For Ever Young" project, which aims to understand epigenetic processes that leads to aging for the prevention of age‑related diseases. A key aspect of this research is understanding the role of post‑translational modifications (PTMs) in histone proteins, which are essential for chromatin organization, transcriptional regulation, and cellular function. Given their role in development, aging, cancer, and neurodevelopmental disorders, unraveling how histone‑modifying enzymes regulates chromatin landscape and signalling entropy is crucial for ensuring human health.
The candidate will contribute to developing new approaches to investigate PTM in different models and PTM‑driven protein behavior, particularly in genome‑wide localization and protein‑protein interactions. The goal is to integrate experimental and computational methods to improve predictions of protein stability, dynamics, and function based on PTM patterns.
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