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of artificial intelligence (AI) and big data to innovate and scale action. The interdisciplinary group utilizes qualitative and quantitative tools to solve key problems impeding action in conserving forests
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to the development of new models of social reasoning and to conduct large-scale online behavioral experiments that examine the predictions of these models. The broader project investigates how groups of people
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Resources Internal Number: 6128496 Postdoc Employee Agroecological Science / Data Science ESPM Organisms & the Environment/Eric and Wendy Schmidt Center for Data Science & Environment (DSE) Position
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with a specific focus on the use of artificial intelligence (AI) and big data to innovate and scale action. The interdisciplinary group utilizes qualitative and quantitative tools to solve key problems
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. The successful candidate will work to analyze science data and identify, model, simulate and mitigate important instrumental effects that limit our ability to extract cosmology results from Simons Observatory data
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large-scale omics data, and contribute to manuscript preparation and grant writing. Additionally, they will mentor junior lab members and participate in scientific discussions and presentations