- Multi-omics data integration and workflow improvement
- Development and application of machine learning-based algorithms for the identification of antibiotics-associated proteins and antimicrobial peptides
- Perform and support experimental studies across the METAMIC project, including notably metagenomic sequencing of field study samples (from clinical or environmental use cases)
- Application of improved workflows in field studies
These tasks will be carried out within the Marie Skłodowska-Curie Doctoral network METAMIC 3 - Metaproteome-based leveraged microbiome management in the context of One Health. METAMIC 3 is funded by the European Commission under the Horizon Europe framework programme (Grant Agreement number 101225682).
The METAMIC 3 project will embed Doctoral Candidates (DCs) in a unique training environment to advance microbiome science through metaproteomics. The program addresses One Health challenges by integrating research on microbial mechanisms, microbiome dynamics in various ecosystems, and translational applications in clinical and biotech fields. DCs will benefit from expertise across molecular biology, bioinformatics, clinical research, and environmental science, supported by collaborations among academia, industry, and public sector partners.
For further details about the overall research project, please contact paul.wilmes@uni.lu .
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