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profiling to determine the spatial and functional requirements of enhancers, and (4) tissue processing and molecular analysis of patient-derived clinical samples. The Eyler laboratory possesses a rich
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translate into concrete health outcomes. The BRANCH project wants to change that. By combining conceptual work on green space typologies, advanced geospatial analytics, AI-based image analysis, citizen
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. This includes bird observation data, vegetation measurements, and spatial (e.g., GPS) data. Office responsibilities will include GIS work to support ongoing projects, such as analyzing spatial data and creating
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(transformative) effects on the reader. A literary analysis may also be conducted in tandem with an analysis of the lay-out/spatial arrangement of these texts within the handwritten codices: how does lay-out affect
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 14 days ago
. Nous étudierons les relations entre les caractéristiques intrinsèques et extrinsèques de la MW, à l'aide d'une approche multimodale (imagerie spatiale/hyperion, immunofluorescence multiplex, séquençage
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Center for Immunology of Marseille-Luminy (CIML) | Marseille, Provence Alpes Cote d Azur | France | 3 months ago
adaptive immune responses against liver antigens. The project focuses on characterizing T and B cell immune responses in autoimmune liver diseases using spatial transcriptomics and adaptive immune receptor
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consequences for essential ecosystem processes. In the framework of the Biodiversity Exploratories (https://www.biodiversity-exploratories.de/en/ ), funded by the German Research Foundation (DFG), the project
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metastability processes under different operating conditions (dark, illumination, electrical bias); Spatial analysis of performance inhomogeneities and degradation mechanisms using optical and electrical mapping
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open-source software packages and set up computational pipelines. As a bio-informatics research lab, we publish software packages in Python and R for specific, cutting-edge analysis of large-scale
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multidisciplinary experience in combining integrative computational immunology – data-driven, state-of-the-art single cell resolution and spatial methods, machine learning and kinetic modeling – with integrative