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intelligence. Our research spans computer vision, machine learning, and natural language processing, focusing on multimodal learning, data fusion, spatial-temporal modeling, and vision–language models. We study
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research. Assesses and summarizes large datasets from a range of sources, runs simulations in fire modelling programs, and creates visualizations for presentations, research papers, and extension materials
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models that includes breeding colony management and genotyping. Performs advanced 3D and spatial imaging (confocal, LSFM, Xenium spatial transcriptomics) and associated computational image analysis
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processes with the Dynamic Global Vegetation Model LPJmL , InSEEDS enables the representation of spatially resolved social–ecological feedbacks in agricultural systems. Previous work has demonstrated how
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 28 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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technologies. ASCEND’s mission is to democratize science by making disease models, experimental techniques, and tools accessible to beginners—while also offering deep expertise in organoid culture and modeling
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, Katholieke Universiteit Leuven, Department of Human Genetics, Belgium (Academic); Dr. Domenico Bellomo, SkylineDx B.V., Netherlands (Industry) Project description: DC2 will develop a 3D spatial FUN-G&T-seq and
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multidisciplinary translational neuro-oncology research program focused on immunotherapy, biomarker discovery, and spatial biology. In this role, you will help advance innovative research embedded within investigator
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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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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