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, dynamic mapping, mobile application development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research partners on campus at the UO, with
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are also required: at least one course in Programming at least one 2nd cycle course in one of: Stochastic processes, Machine learning, Time-series analysis, Spatial statistics, Spectral analysis
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analysis and statistical modeling. Experience working with large, complex, and multi-dimensional datasets. Experience with spatial analysis and geospatial data integration, including use of GIS tools (e.g
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sequencing and spatial transcriptomic data analysis* Strong track record of research as evidenced by publications in referred journals* Strong written and oral communication skills as evidenced by data
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implement end-to-end data pipelines, develop AI models to extract structured intelligence from unstructured social media data, build spatial risk models, and translate these outputs into a secure, user-facing
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transcriptional regulation from multi-omics data; computational method development for single-cell epigenomic sequencing and image-based spatial-omics data analysis; computational and experimental studies
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are looking for a PhD Student in aerosol science Your tasks Scientific research on the spatial distribution air pollutants in Romania using a mobile laboratory Perform measurements within the Romanian-Swiss
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Biology — enormous advances in global genome analysis coupled with unprecedented developments in interdisciplinary research have made the 21st century the Century of Biology. For more information about the
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-spatiale proposées, et l'idée de passage entre les soins en structure et au domicile. Le projet ARCADE vise à évaluer la faisabilité et l'efficacité d'un programme de rééducation cognitivo-motrice basé sur
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. Tissue sectioning for advanced spatial transcriptomic analysis. Leading the analysis of single-cell and spatial transcriptomics data. Applying and developing the analysis framework for spatiotemporal