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for: Analysis of bulk and single cell RNA-sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public and clinical datasets Statistical modeling and survival
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 15 days ago
Scientist (f/m/x) in Spatial Multi-Omics Analysis 103012 Full time, close to full time 27,3 - 39 hrs./week Neuherberg near Munich Partial Home Office possible At Helmholtz Munich, we develop groundbreaking
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to restore and repurpose the former Lolli site. The research fosters advanced legal expertise in managing cultural enhancement processes, spatial utilization, contract management, local partnerships, and the
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formats – see the course webpage to find out about the format. Information on this PCE Specialization may be found at https://www.pce.uw.edu/specializations/gis-spatial-analysis-with-python-r. UWC2
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Computational pathology and digital pathology using whole slide imaging (WSI) Spatial biology, spatial transcriptomics, and multi-omics data integration Large language models (LLMs) and foundation models
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learning, epigenomic data, and mechanistic modelling. The mission is to contribute to the development of predictive models of the replication initiation probability landscape (IPLS) from limited experimental
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prediction Integrating various types of spatial single-cell data, such as gene expression and protein expression data Developing image analysis methods for histopathological specimens using AI-based models As
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and experimental models to study metabolic communication in GBM invasion. In this context, spatial transcriptomics and mass spectrometry imaging provide tissue-level maps of tumour–microenvironment
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 4 days ago
inform representations and encoder adaptations. This activity will provide hands-on experience in making three-dimensional vegetation structure accessible within data-driven geospatial modeling processes
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and educate students to do research relevant for the analysis and modeling of complex real-world problems arising in modern Statistical Data Science. KAUST (https://www.kaust.edu.sa ) is an