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applications of advanced spatial data analysis methods, data collection, and interpretation of remote sensing data, database system theory, mapping, spatial data distribution, development of new cartographic
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Requirements You are an independent, highly motivated researcher with solid interdisciplinary experience in agronomy and plant genetics, and a growing foundation in spatial data analysis. You also possess: A PhD
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Biology, or a related discipline Experience in multi-omics data analysis and handling big data Experience with single-cell and spatial transcriptomic analyses is a plus High motivation and curiosity
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 24 days ago
and spatial approaches using diverse input material, including tissue sections Monitoring quality, conducting data analysis and driving workflow automation with seamless integration into existing
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: Experience in method development, working with spatial data, and GIS Experience with univariate and multivariate analysis and working with large datasets Experience with working independently and organizing
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is also placed on your: Strong skills in GIS and spatial analysis (e.g., QGIS, ArcGIS, or similar platforms) Familiarity with urban morphology and/or mobility studies Interest in comparative urban
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of patterns from drillhole data. Drillhole loggings, elemental concentration assays, and mineralogical data derived from techniques such as Mineral Liberation Analysis (MLA) or hyperspectral core scanning
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Applications are invited for a position as postdoc in Computational Biology in the laboratory of DNRF Chair and Novo Nordisk Faculty Professor Vijay Tiwari (https://www.tiwarilab.org
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: To have a PhD in Biology, Microbiology, Agricultural Sciences or related areas obtained within the three years prior to the date of application for this research grant;; The place of development
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proficiency in integrating spatial data into 3D models using sophisticated interpolation techniques. Additionally, the postdoctoral researcher will contribute to transforming mining liabilities into valuable