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. The objective is to combine ultra-high-precision spatial localization, reduced acquisition times, and access to key photophysical parameters enabling characterization of the local environment of fluorophores
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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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. In addition to furthering systematic thinking by separating problem formulation from solution concepts, integrating models from different disciplines, operating at different time/spatial scales
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crane. The successful candidate will build reproducible machine learning pipelines, integrate detections into spatial ecological models, and generate conservation-relevant outputs for regional partners
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includes research encompassing experimental and theoretical approaches at a wide variety of temporal and spatial scales, i.e. from molecules and microorganisms to patterns and processes occurring
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. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8067-DAMCHE-015/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research
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experience of quantitative environmental data analysis, including climate data, ecological or forest inventory data, and/or spatial data sets, and skills in statistical analysis and data processing using tools
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reflect prostate cancer development and progression in Black men. Using advanced gene-editing techniques, spatial characterization of prostate tumoroids, and next-generation sequencing, we will identify and
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beyond descriptive genomics to decipher the underlying regulatory logic of GBM. By leveraging single-cell multi-omics (scATAC-seq, scRNA-seq) and spatial omics, you will map enhancer landscapes
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interactions of plants You have experience with analyzing large datasets such as single nuclei transcriptomics and spatial metabolomics You have distinguished yourself as a promising researcher during your