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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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, fixed-term position focused on the development and application of synthetic control methods to problems in spatial causality within agricultural and environmental economics. The successful candidate will
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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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acquired while helping ensure the graduate students or postdoc papers have the highest quality data and analysis. Participate in the teams to develop new code and statistical methods to analyze in situ
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, statistics, or a related field strongly preferred. Demonstrated experience leading or managing large, multi-site research programs (e.g., randomized controlled trials, community exposure studies
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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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
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spatial data visualization tools. Building AI solutions, including chatbots, RAG, and other LLM-based tools. Interest in and experience developing software to support data-driven research. Application
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of biodiversity and model the potential future biodiversity recovery given during land use transformation and restoration in Denmark. This involves spatial and temporal optimisation and prioritisation of land for
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of Biostatistics at University of Florida and Dr. Hongkai Ji (remote) in the Department of Biostatistics at John Hopkins University. This position, available immediately, focuses on developing statistical, machine