We are seeking a Researcher in Computational Genomics and Multi-Omics Integration to develop novel methodologies for investigating glioma heterogeneity joining the CTGLab.Feel free to contact us if you are curious to know more. Please use the email address: romina.daurizio@cnr.itduration: 1 year (renewable)Project: TRANSCAN-3 SeqPerGlioLocation: CTGLab, IIT-CNR, Pisa-Siena, ItalyStart Date: [To be determined]The present announcement does not constitute a formal recruitment procedure, but rather a scouting initiative to identify profiles of interest. Candidates will be invited to apply through an official public competition/bando.OverviewThe Computational and Translational Genomics Laboratory (CTGLab) at IIT-CNR, Pisa-Siena, Italy, is seeking a highly motivated Postdoctoral Researcher in Computational Genomics to join our team working on the TRANSCAN-3 SeqPerGlio project: "Intraoperative tumour sequencing for personalized loco-regional drug combination therapy against glioblastoma recurrences".The position offers a unique opportunity to work at the intersection of cutting-edge computational innovation and direct clinical translation in precision neuro-oncology. The successful candidate will develop novel computational methodologies for real-time genomic and epigenomic profiling using Oxford Nanopore Technologies (ONT) long-read sequencing, contributing to personalized treatment strategies for glioblastoma patients.Project DescriptionSeqPerGlio is an international TRANSCAN-3 consortium project (2025-2028) focused on establishing intraoperative molecular profiling workflows to guide personalized drug combination therapy for glioblastoma. The project integrates:- Real-time nanopore sequencing of tumor specimens during surgery- Multi-omics data integration (genomics, transcriptomics, epigenomics)- Clinical decision support for loco-regional therapy selection- Direct collaboration with neurosurgery centers across EuropeResponsibilitiesDesign and implement computational pipelines for real-time analysis of Oxford Nanopore long-read sequencing data, including:Structural variant detection and clonality assessmentDNA methylation profiling and tumor classificationRNA isoform analysis and fusion detectionIntegration with clinical genomic databasesDevelop novel algorithms for:Rapid quality control and data processing optimized for clinical timelinesMulti-omics data integration from nanopore, single-cell, and imaging dataBiomarker identification for therapy response predictionTumor heterogeneity characterizationCollaborate closely with wet-lab scientists, clinicians, and neurosurgeons to:Translate computational results into actionable clinical insightsEstablish validation protocols and quality metricsContribute to standard operating procedures for clinical implementationContribute to scientific dissemination through publications in high-impact journals, presentations at international conferences, and consortium reportsCTGLab is a multidisciplinary team specializing in computational methods for multi-omics integration in cancer genomics. For details on research activities and latest publications, visit theApplication ProcessInterested candidates are invited to provide:1. cv including publication list2. Cover letter describing research interests, relevant experience, and motivation for applying (max 2 pages)3. Contact information for two academic referencesApplications will be reviewed on a rolling basis.