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, pharmacological modulation of signaling pathways, spatial gene expression profiling, and bioinformatic analysis. More about the position The main purpose of the fellowship is research training leading
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integrate advanced 3D cell culture, confocal and nano-CT imaging, and cutting-edge transcriptomic techniques, including single-cell and spatial transcriptomics, to map receptor-driven pathways involved in
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distribution modelling Experience with spatial analysis and mapping tools (e.g., QGIS, ArcGIS, or spatial packages in R/Python) Interest or experience in applying AI or machine learning methods to ecological
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spatial analysis and mapping tools (e.g., QGIS, ArcGIS, or spatial packages in R/Python) Interest or experience in applying AI or machine learning methods to ecological questions Personal attributes: Strong
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) Documented record of advanced quantitative methods skills in R and Python, specifically Experience with GIS and spatial data analysis Experience with natural language processing or text-as-data approaches
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agricultural or ecological settings. Experience with GIS (Geographic Information Systems) or spatial analysis for landscape-level studies. Experience with scientific writing in English You need to be able