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, Doctoral School of Biology, Chemistry and Health (Ecole Doctorale Biologie-Chimie Santé). The EPIMAST project is titled “Respiratory epithelium and mast cells: pathophysiological modeling and identification
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collaboration activities. This includes the Chair of Spatial Information and Modelling, which is at the same time leading the IOER Research Area under the same title. Both TUD and IOER are globally oriented
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and erosion processes. Skills in GIS, spatial analysis of large scale data, modelling, remote sensing, and programming (R or Python) are desirable. You work independently, communicate effectively
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and spatial transcriptomics and epigenomics. More details: https://research.pasteur.fr/en/team/cellular-plasticity-in-age-related-pathologies/ Candidate profiles We are seeking highly motivated
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validated algorithms. The objective is to identify sensorimotor signatures of fall risk that may improve current predictive models and contribute to the development of more targeted prevention strategies
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in urban and territorial systems. The researcher will focus on the design and application of hydrological, and AI-based modelling approaches to address water-related challenges in urban environments
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, and contribute to a federally funded R01 initiative focused on the integration of spatial omics, transcriptomics, and histology data. The role emphasizes computational analysis of single-cell RNA
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integrating single-nucleus epigenomic profiling of brain immune cells with high-resolution spatial transcriptomics. The PhD candidate will characterize epigenetic and transcriptional states of immune cells in
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constituent une phase électronique caractérisée par une modulation spatiale de la densité électronique présente dans certains matériaux métalliques, souvent liée à l'apparition d'une bande interdite dans le
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
on the study of human tumors through the use of multiple genomic technologies. The methods used include gene expression profiling using bulk RNAseq and scRNAseq, DNAseq, and spatial transcriptomics. The main