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Postdoctoral Research Associate in Health Economics Department of Finance Gies College of Business Postdoctoral Research Associate Health Care Research Initiative Seeking a full-time postdoctoral
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in R, Python, GIS, or other platforms. Expertise in study design, data collection, and qualitative and quantitative analysis and modelling relevant to understanding ecological processes. Other
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thermal imagery and in aquatic systems. Demonstrated experience in large-scale data management, which may include spatial modeling, expertise in R, Python, GIS, or other platforms. Expertise in study design
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GIS software and Python, strong written and interpersonal communication skills, and a demonstrated interest in addressing social justice issues through data-driven research. The postdoc will work in
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background in machine learning, predictive modeling, or applied AI Proficiency in Python and/or R; experience with libraries like scikit-learn, XGBoost, TensorFlow. -Experience working with real-world datasets
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with Microsoft Office Suite and familiarity with statistical and geospatial software such as Python, R, and GIS applications (e.g., ArcGIS, QGIS). Ability to work collaboratively as part of a
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. Experience with trait-based ecology, ecometric or functional-trait modeling, or macroecological analyses. Experience with R, Python, or equivalent programming languages for statistical and spatial analyses
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, and statistical analysis. Proficiency in data analytics, visualization. Proficiency in at least one of the following programming languages: R or Python. Proficiency in Microsoft Office (including
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/C++, FORTRAN and/or Python. Experience working with geo-spatial information, remote sensing data, and GIS software. Experience in deep learning and computer vision. Experience in developing software
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related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python and/or R (geospatial stacks, data wrangling