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models, for the analysis of high-throughput multi-omics datasets (especially single-cell and spatial omics), large textual corpora (e.g., scientific literature), and/or pathologic images. Our research
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, neurophysiology, and optical sciences. SPPIN provides access to state-of-the-art facilities within the multidisciplinary scientific environment of the Faculty of Fundamental and Biomedical Sciences. Spatial
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PhD Positions Application Deadline 20 May 2026 - 23:45 (Europe/London) Country United Kingdom Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Aug 2026 Is the job
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spécificité spectrale et de détectabilité dans les nouvelles modalités d'imagerie. Le Scanner Spectral à Comptage Photonique (SPCCT) apporte des améliorations significatives, notamment une résolution spatiale
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based on a methodological roadmap that integrates the joint use of a dynamic ecosystem model, enabling spatialised simulations, and a spatial habitat risk assessment model. The aim is to better understand
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. Experience in numerical modeling is an asset. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8520-YANPEN-008/Default.aspx Requirements Research FieldEngineeringEducation LevelMaster Degree
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Postdoctoral Opportunity in Molecular Biology to Model the Progression of Rheumatoid Arthritis (M/F)
for spatial mapping assays. The SysFate team, led by Marco Antonio MENDOZA (PhD/HDR; permanent CNRS researcher), focuses on understanding cell fate decisions through the reorganization of complex gene
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. Increasingly we are also utilising cutting-edge medium-high throughput technology such as spatial transcriptomics, spatial metabolomics and spatial proteomics. You will also have the opportunity to develop your
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. Potential projects include: Developing AI/multimodal models (e.g., integrating single-cell omics, spatial transcriptomics, epigenomics, and proteomics) to simulate virtual neural stem cells or organoids
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persistence in chronic infections (Salmonella, Pseudomonas, and Achromobacter) by integrating spatial modelling, single-cell transcriptomics, advanced imaging data, and machine learning approaches. The goal is