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in Spatial Omics and Multi-Modal Data Integration Duties & Responsibilities: Develop computational and machine learning methods for spatial omics data (spatial transcriptomics, spatial proteomics
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our team and lead the development and application of cutting-edge spatial omics technologies, integrating expertise from our different core facilities. This role will be central to building and
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and spatial biology Start date: 01/10/2026 The University of Liège is the biggest French-speaking public university in Belgium. It employs more than 5,700 staff members across four campuses, including
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Job Code 0001 Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job Working with the U-Spatial team, this position will support geospatial research across the University
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Europe".The research activity focuses on spatial analysis and remote sensing applied to the study of soil degradation and erosion processes, with particular attention to identifying patterns, assessing
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join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops explainable, autonomous, and multimodal artificial intelligence (AI) systems to advance biological discovery. Our research integrates
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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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related to staff position within a Research Infrastructure? No Offer Description This PhD explores how citizens, spatial context, and devices jointly shape the behaviour of future wireless networks
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: Initial appointment is 1 year with the expected renewal after the first year for an additional 1-2 years by mutual agreement. Appointment Start Date: Flexible Start Date Group or Departmental Website: https
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omics. Nat Methods 22, 58–62 (2025). https://doi.org/10.1038/s41592-024-02212-x Crowell, H. L., Dong Y., Billato I. et al. Orchestrating Spatial Transcriptomics Analysis with Bioconductor. bioRxiv