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, Agricultural Economics, or relevant field and/or experience conducting similar work Proficiency in programming languages (Python, R) and database systems Strong analytical and problem-solving skills Ability
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of education and experience. Experienced in machine learning and software development in research and production environments. Extensive Python experience, including knowledge of numpy, pandas, Tensorflow and/or
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community. Experience using analytics tools (such as Google Analytics and Firebase). Software engineering skills and working knowledge of programming web-based applications using technologies such as Python
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to drive informed, effective decisions is required. The ideal candidate will be fluent in using statistical coding languages such as Python, R and SQL to query large datasets from a data warehouse and create
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to evaluate program performance and inform improvements. Familiarity with data visualization tools such as Tableau (or similar) is required, with experience in SQL, Python, or other advanced analytics methods
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Department of Human Centered Design (HCD https://www.human.cornell.edu/hcd ) enriches people and their environments through transdisciplinary research, teaching, and outreach. We integrate analog and digital
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/water/agricultural applications. Strong programming skills in Python and/or R (geospatial stacks, data wrangling, visualization). Record of peer-reviewed publications commensurate with career stage and
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—are encouraged to apply, with opportunities to grow in other areas through collaborative mentorship and team-based learning. Department of Human Centered Design The Department of Human Centered Design (HCD https
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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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within an interactive research group consisting of Cornell and agency scientist. Specifically, the individual will: 1) Analyze acoustic data with existing software (Echoview, R, Python). 2) Collaborate