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Field
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. Research Focus The projects aim to develop advanced computational methods for analyzing large-scale, multimodal biomedical data—including single-cell and spatial omics, imaging, and clinical datasets. Key
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Brandenburgische Technische Universität Cottbus | Cottbus, Brandenburg | Germany | about 1 month ago
. At the Department of Macroeconomics (Faculty of Business, Law and Social Sciences), we research economic transformation processes and their spatial dimensions. We use our findings to support business
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such as PET and UTCI have considerably improved the capacity to capture the spatial variability of outdoor thermal comfort across complex urban environments. However, despite their widespread application
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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
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spatial relationships between data represented as vectors and rasters. Where to apply Website https://www.phil.muni.cz/en/careers/available-positions/80212 Requirements Research FieldOtherEducation LevelPhD
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LMU Munich. The group is located within the Institute of Clinical Neuroimmunology (https://www.neuroimmunology-munich.de/ ). The professorship of Systems Neuroimmunology is part of the Cluster
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) - email : antoine.berthet@centralesupelec.fr – web : https://scholar.google.com/citations?user=jxMJvuUAAAAJ&hl=en Bibliography: [1] J. Federici and L. Moeller, “Review of terahertz and subterahertz
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month ago
high spatial resolution and revisit frequency. Such infrastructures are crucial to understand our changing world and climate but also the Martian or the Moon environments and their degree of habitability
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. The spatial distributions of such soil communities, the changes in (functional) diversity of these soil communities in relation to nitrogen deposition and acidification, and their relationships with forest
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: Analysis and interpretation of high-resolution single-cell RNA-seq and scATAC-seq data to elucidate cellular processes Processing and integration of spatial transcriptomics data to reveal molecular patterns