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Molecular Biology program (http://cell.uark.edu), Statistics and Analytics program (https://statistics-analytics.uark.edu/index.php), and Center for Advanced Spatial Technologies (https://cast.uark.edu
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, statistics, data science, applied math and/or other quantitative backgrounds who are enthusiastic about bringing their expertise to address fundamental problems in biology and medicine using cutting-edge
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environment collecting or analyzing data. Experience using GIS software to manipulate data and generate spatial data products (e.g., maps, web/story maps, etc.). Experience working with groups of stakeholders
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candidate(s) will have knowledge and enthusiasm for waterfowl and experience with spatial and statistical models and coding to address the research objectives using modern statistical packages, open access
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include developing foundation models for genome interpretation; creating methods for multi-omic and spatial data analysis and integration with phenotypic and clinical data; and advancing AI-based frameworks
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. Proficiency in statistics and spatial analyses and map-making using R and/or ArcGIS Experience in analysis of forestry and environmental data Strong communication, writing, and organizational abilities Desired
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. This is a non-customer facing position. Duties to include: Conduct spatial analyses using ArcGIS Write computer code for simulating geological processing in the study area Write reports Present results in
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of root-microbe interactions in forming stable soil organic matter in different soil types and under future climate scenarios using a range of different approaches, and in collaboration with Statistics
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density of natural enemies to test the hypothesis that these are more abundant on locally common species. Skills and techniques: The project will provide training in spatial statistics, GIS and statistical
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), under Portugal 2030, of the R&D unit Centro de Economia e Finanças do Porto, under the following conditions: 1. Research areas: Social Sciences: Economics, Management, Statistics, Computer Science