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and spatial transcriptomics. Hands-on experience with multiplex immunofluorescence/immunohistochemical staining Spatial transcriptomics and multiplexed tissue analysis Further The employment is time
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develop analysis pipelines to analyze high dimensional spatial and single-cell data of cancer and immune tissue from patients and pre-clinical studies and should have a strong background in both
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develop analysis pipelines to analyze high dimensional spatial and single-cell data of cancer and immune tissue from patients and pre-clinical studies and should have a strong background in both
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consists mainly of research within a large collaborative project focusing on biodiversity, interactions and dynamics in coastal ecosystems. The project seeks to investigate drivers of spatial and temporal
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and Data Science for Spatial Genomics in Diabetes This position centers on the development and application of machine learning, image analysis, and integrative omics approaches to spatial
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propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large
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experimental and theoretical approaches. Requirements: Well-documented expertise in any of the following areas: next-generation sequencing data analysis (singe cell and spatial sequencing). PhD in
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temporal dynamics over weeks and seasons, their interactions such as predator-prey relations and their spatial extent over time. As part of this Swedish Research Council funded interdisciplinary research
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Genetics at the Swedish Museum of Natural History is offering a two-year Postdoc position focused on theory of adaptive radiation. Work tasks We will focus on building spatially explicit and trait-based
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-of-the-art cell and tumor biology methodologies, tissue analysis with histopathological techniques, and work with genetically engineered mouse models of cancer. Previous experience of conducting and analyzing