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Field
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We are seeking a Postdoctoral Researcher in Geospatial Urban Big Data to support the analysis of urban dynamics and decision-making in territorial planning. The candidate must be proficient in GIS
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of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining
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of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining
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procedures used in spatial data analysis and vegetation dynamics modeling is required. The candidate should have extensive practical experience in the use of R and GIS. Demonstrated skills of Bayesian modeling
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Postdoctoral Scholar to conduct research for an NIH-NSF funded project on human health, movement, and infectious diseases. Successful applicants will have experience in: either spatial analysis using GIS
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within the past 3 years in Environmental Science, Geography, Computer Science, Atmospheric Sciences, or related field. Advanced GIS and geospatial computing expertise. Demonstrated commitment and ability
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, computer science, environmental engineering or in a relevant science subject area with an affinity for renewable energy integration, spatial analysis/GIS and programming; has proven experience in programming
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, Python or related statistical software. GIS expertise is ideal. Application Process Please submit an online application and attach the following documents: Short statement of research interest. Complete CV
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with STATA, R, Python or related statistical software. GIS expertise is ideal. Application Process Please submit an online application and attach the following documents: Short statement of research
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, Japanese history (esp. early modern), historical geography, GIS, programming (esp. Python) and computer science, statistics and data science, text mining, natural language processing, demography, economics