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functionality in response to global changes and restoration efforts at large spatial and temporal scales is essential to understand where action is needed and to monitor restoration success. Developments in
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integrating RNA and spatial ribonomics data, we aim to gain a deeper understanding of key biological processes and their relevance to major diseases like bacterial resistance, neurodegeneration, and
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, the resulting discoveries often remain fragmented and disconnected. Our programme seeks to bridge these gaps through scale-crossing, multimodal spatial interrogation of human cells and tissues in three dimensions
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
sound knowledge of statistics, machine learning, image analysis, or spatial data analysis The ability to assess algorithms and models not only from a technical perspective, but also in terms
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spatial concepts, as well as how to make sense of and prepare spatial health data for mapping and statistical analyses (including georeferencing, geocoding, merging data sources, and describing and
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advanced data management, statistical analysis and modelling of ecological and environmental stressor data using R, including OSPAR’s Harmonised Regional Seas Assessment Tool (HARSAT), to assess contaminant
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experience required; 4 years of relevant experience in computational image analysis and spatial statistics required with High School diploma or GED, 2 years of relevant experience in computational image
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datasets and an evaluation framework covering statistical fidelity, temporal and spatial structure, physical plausibility and downstream task performance (e.g. train-synthetic-test-real forecasting). You
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, natural resources, spatial sciences, math, statistics, or related field of study. -Minimum of 4 years in geospatial analysis, statistical analysis, or similar, in either an academic or professional setting
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initiative of the Metabolomics Core Technology Platform (MCTP), the Expression & Spatial Profiling (ESP) Core Facility, the Core Facility for Mass Spectrometry & Proteomics, and the Deep Sequencing Core