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Postdoctoral researcher with strong computational and bioinformatics expertise to join the Laboratory of Neuroepigenetics. The candidate will lead computational analyses of large-scale transcriptomic datasets investigating the molecular mechanisms underlying psychiatric and neurodegenerative disorders. The position is contingent on successful fellowship award (MSCA or EMBO).
Job Responsibility:
Develop and implement computational pipelines for transcriptomic data analysis
Perform integrative multi-omics analyses and network-based approaches
Collaborate with experimental colleagues on target validation studies
Prepare scientific publications and contribute to grant applications
Present findings at international conferences
Requirements:
PhD in bioinformatics, computational biology, genomics, or related discipline
Strong programming skills in Python and/or R
Experience with RNA-seq data analysis and statistical methods
Track record of peer-reviewed publications
Good communication skills in English
Nice to have:
Experience with small RNA sequencing, network analysis, multi-omics integration, or high-performance computing
What we offer:
Guidance for fellowship applications
Support in project management
Competitive MSCA allowance or EMBO stipend upon successful funding
Access to high-quality, unique datasets
Interdisciplinary research environment
Opportunities for career development, conference attendance, and independent project development