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clinical trials. Key Responsibilities Perform end-to-end analysis of single-cell RNA-seq, multiome, and spatial transcriptomics datasets from patient samples. Integrate multi-modal genomic, clinical, and
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-being, social connectivity, and resilience—integrating geospatial and spatial-temporal analysis to assess patterns, accessibility, and environmental exposure. • Collect, analyse, and interpret data using
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for a highly motivated PhD fellow. The successful candidate will apply cutting-edge spatial proteomics to uncover the molecular architecture of the cardiac conduction system (CCS) and elucidate mechanisms
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, preserving critical information about their spatial interaction. Advanced mass spectrometric analysis serves to detect and interpret cross-linked peptides, providing detailed insights into the specific domains
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these skills. Competence in data processing, statistical analysis, and the development of ML models, or a clear willingness to gain such expertise. Experience with GIS-based spatial analysis, or a clear
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Center for Immunology of Marseille-Luminy (CIML) | Marseille, Provence Alpes Cote d Azur | France | 25 days ago
adaptive immune responses against liver antigens. The project focuses on characterizing T and B cell immune responses in autoimmune liver diseases using spatial transcriptomics and adaptive immune receptor
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platform, we invite applications for three PhD-level Research Specialists: Microscopy and Spatial Transcriptomics Specialist (this position); Image Analysis Specialist; Computational Neuroscience and Data
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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) Recognised Researcher (R2) Positions PhD Positions Country France Application Deadline 3 Feb 2026 - 12:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Offer Starting Date 2 Mar 2026 Is the
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commitment to growing with us. Your Tasks Expertise and Methodological Development Establish, optimize, and expand workflows for spatial omics technologies, from sample preparation through analysis to data