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⸻ Preferred / Additional Experience Experience in one or more of the following areas will be considered a strong asset: • Flow cytometry (FACS) • RNA-seq / DNA-seq workflows • Single-cell omics • Spatial
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of the Czech language in both written and spoken. Requirements related to job content Experience in user research: specifically in planning, moderation, analysis, synthesis, and communicating recommendations
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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a
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collaboration with the other project partners, particularly BRGM. Interpolation of spatially distributed data is a key element in geo-environmental sciences [1]. Despite the importance of these methods and their
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-quantitative histomorphometry and image analysis In vitro endothelial and co-cultur models High content imaging and spatial biology (cooperation AG Schapiro, Heidelberg) Single molecule localisation microcopy
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Job Description Field of research: Applied biomedical research in the PI’s lab with emphasis on spatial omics assays—e.g., translational spatial genomics, imaging‑based profiling, assay/methods
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, they are characterizing how spatial organization shapes these evolutionary outcomes and developing approaches to leverage spatial data to better understand evolutionary histories. More information about the lab and their
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a post-doctoral researcher to join WP2 on the AI4MAP project, primarily focusing on developing adaptive sampling and spatial modelling strategies. The work will concentrate on designing and
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. The investigation of the temporal and spatial distribution of the exhaust gases in the atmospheric layers after the launch vehicle has passed through is therefore crucial for drawing conclusions about their climatic
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. Qualifications: Extensive training in state-of-the-art economics and econometric analysis, including spatial statistics and other advanced quantitative methods. Familiarity with modern computational and data