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single-cell and spatial transcriptomics datasets Integrate ontologies and metadata (e.g., tissue, cell type, developmental stage, treatment) to build tissue- and context-specific co-regulation networks
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) to model spatial patterns, as well as anomaly detection methods for identifying unusual patterns in time series data, with a focus on healthcare applications. Where to apply Website https://xup.di.uniroma1
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response.' Lab website: https://ki.se/en/neuro/lopez-laboratory-neurobiology-of-stress-and-treatment-response Your mission We are looking for highly motivated candidates to join our team and work with
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for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5126-EMIBAS-021/Default.aspx Work Location(s) Number of offers available1Company/InstituteCentre d'études spatiales de la
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glioma research. This project aims to map and therapeutically target the myeloid programs driving immunosuppression in pediatric gliomas through a combination of single-cell, spatial multi-omic, and
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the framework of the ANR EmergeNS whose aim is to understand, through mathematical and computer models, the role that autocatalysis, multistability and spatial heterogeneity may have played in the emergence
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sensing techniques. The ultimate goal is to establish a framework for spatially extensive monitoring of European beech vitality under drought stress in Germany and Central Europe. This project offers
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spatial point process models for the emergence and arrangement of objects (including birth-death dynamics, merging, and non-overlap constraints) with methods from shape analysis, in particular stochastic
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requirements for this position: Master’s degree or Last semester Master student in Urban Studies, Urban Planning, Transportation Planning or closely related field. Documented previous knowledge about spatial
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. The postdoc will work on a comprehensive translational research program combining advanced human iPSC-derived co-culture models, spatial transcriptomics and proteomics of patient skin biopsies, and mechanistic