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well as analytical approximations to grasp their multiple spatial and temporal scales. Experimental partners at TU Eindhoven include the group of Sander Nijdam, an expert in measuring streamer discharges with highest
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: Familiarity with (NGS related) software tools and packages such as bwa, STAR, bedtools, samtools, Picard, RSEM, GISTIC, GATK, Strelka, Seurat Prior experience in analyzing spatial transcriptomic data. Prior
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for flood risk estimation, and prototyping flood monitoring and forecasting procedures at very high spatial resolution. The candidate will collaborate closely with the Remote Sensing and Hydrology lab and the
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applicant must have professional proficiency in English (written and spoken). Desirable qualifications: Prior experience in working with economic models of migration, residential choice models, and/or spatial
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able to analyse complicated data. Good statistical knowledge and experience with geo-spatial analysis techniques is a benefit. Prior knowledge on wetland ecosystem functioning, and particularly on carbon
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Charles Henry Turner Post-doctoral Fellow, Department of Geography & GIS, College of Arts & Sciences
. Job Overview The Department of Geography and GIS at the University of Cincinnati, Ohio, seeks a fellow in geography, geospatial artificial intelligence (GeoAI), and spatial data science for its Charles
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, multi- layered spatial data sets (e.g. Remote Sensing and GIS), and contributing to the growth of the interdisciplinary Integrated Coastal Studies Program, which focuses on issues related
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in spatial analysis and data visualization Computer programming skills relevant for data manipulation and analysis Experience with creating and using complex data-driven analytical models using R
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platforms for integrating spatial and temporal information, harnessing remote sensing data, using climate information, understanding fuel accumulation and running physics-based or data-driven wildfire
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computational modeling techniques to study planning in rodents engaged in dynamic spatial foraging tasks. The successful candidate will develop computational models of reinforcement learning in the brain and