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record of peer-reviewed publications Experience developing software with Python, R, and/or Julia Experience with machine learning and AI algorithms and tooling (e.g. PyTorch) Experience with remote
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research methods, although applicants from related fields are encouraged to apply. Prior experience conducting applied or basic research in urban settings is also preferred. Experience with R, Python
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settings is also preferred. Experience with R, Python, and/or GIS software (e.g., ArcGIS or QGIS ) is highly desirable. Equipment Utilized Physical Demands and Work Environment Overview Statement
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, Movebank), remote sensing data, GIS tools and quantitative/spatial approaches including machine learning to understand how wildlife species are reacting to climate change at continental or global
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related discipline, with experience in field methods and/or environmental data analysis; familiarity with Python-based workflows, AI/ML, or hydrogeophysical modeling is highly desirable. The position
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pipelines in MATLAB , Python, R, or similar platforms for electrophysiology processing, network analysis, visualization, quality control, and statistical analysis. Perform and analyze electrical
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, biostatistics, or a related field. A record of peer-reviewed publications. Proficiency in R (+SAS or Python a plus), and experience working with quantitative data analysis and comprehensive understanding of
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using MATLAB , Python, or similar platforms. Leads manuscript preparation for peer-reviewed journals and presents findings at national and international conferences. Contributes to grant writing and
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computational pipelines using MATLAB , Python, or similar platforms. Leads manuscript preparation for peer-reviewed journals and presents findings at national and international conferences. Contributes to
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computational workflows for electrophysiology, imaging, and behavioral data analysis using Python, MATLAB , ImageJ/ FIJI , DeepLabCut, or related tools. Maintains accurate records of experimentation, animal