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                of innovation. Apply through the IAAM R&D World Program, Apply Online before 30 November 2025. About IAAM The International Association of Advanced Materials (IAAM) is a non-profit scientific organization 
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                consisting of Cornell and agency scientist. Specifically, the individual will: 1) Analyze acoustic data with existing software (Echoview, R, Python). 2) Collaborate with USGS scientists on field data 
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                package development and maintenance in R; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing; advanced causal inference and statistics; computer 
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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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                presentations using Stata (preferred) or R. Lead, draft, and publish papers in peer-reviewed journals. Give oral presentations to disseminate research findings FLSA Exempt Grade Salary Details $75,000 Minimum 
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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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                , the individual will: 1) Analyze acoustic data with existing software (Echoview, R, Python). 2) Collaborate with USGS scientists on field data collections. 3) Investigate the spatial patterns of fish and 
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                have a Ph.D. in economics, public policy, education, or a related field by the start date, strong quantitative and econometric skills, experience coding (in Stata, Python, R, and/or SAS), and an interest 
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                programming languages (e.g. R, Python) and an ability to work with large datasets Strong record of peer-reviewed publications Ability to independently design and execute experiments and interpret data Ability 
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                (e.g., R, SAS, Python, or similar). Equipment Used: standard research equipment such as light emitting diodes, data logger, environmental sensors, LI-COR gas exchange system, fluorometer. Part time