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Job Description Field of Research: Computational biology/bioinformatics with emphasis on spatial transcriptomics, proteomics, and immunosequencing using Pixel‑seq and an immune receptor‑focused
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the advantages of the ADS are linked to its subcriticality, this must be ensured under all conditions (normal, incident, or accident). The SPATIAL project aims to develop a reliable method for measuring reactivity
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important jeu de données préliminaires (scRNA-seq de >120 000 cellules, transcriptomique spatiale, cytométrie spectrale), le projet s'articule autour de trois objectifs principaux : 1-Caractériser la
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introduced by spatial multiplexing and nonlinear mode coupling in a multimode fiber • Multidimensional, reconfigurable all-optical feedback to provide a memory effect, thereby significantly increasing
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genomic approaches is to explore clinically relevant aspects of brain tumor biology. We pursue this goal using patient samples profiling, investigating temporal and intra-tumoral/spatial heterogeneity as
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. Strong expertise in spatial assessments and research methodologies. A team player who is fluent in Spanish and English, capable of navigating international collaborations and contributing
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cardiovascular disease (CVD) in Type 1 (T1D) and Type 2 (T2D) diabetes and obesity. This position is engaged in the field of Spatial transcriptomics and bioinformatics. This position supports the analysis
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Work Location(s) Number of offers available1Company/InstituteCentre of Studies in Geography and Spatial PlanningCountryPortugalState/ProvinceCoimbraCityCoimbraGeofield Contact City Coimbra Website https
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application package to Dr. Changyang Linghu at linghu@umich.edu The Spatial Biodynamics Lab (spatialbiodynamics.org ) led by Dr. Changyang Linghu at the University of Michigan, Ann Arbor, is looking for a
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communities • Multivariate statistical analysis of community and environmental datasets • Spatial analysis and georeferencing of ecological data using GIS • Development and implementation of species