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contribute to existing projects and will also have the opportunity to develop independent or collaborative lines of research aligned with the lab’s mission. The successful candidate will play a major role in
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implementation: 50% Literature review: 15% Workshop development: 15% Data analysis and writing: 20% Requirements PhD in natural resources, environmental sciences, environmental policy, ecology, sustainability
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techniques and genomic data analysis. Background in and motivation for genomics or/and biodiversity conservation studies. Strong background in AI/ML fundamentals and extensive experience with deep learning (DL
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contribute to existing projects and will also have the opportunity to develop independent or collaborative lines of research aligned with the lab’s mission. The successful candidate will play a major role in
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experience in molecular genetic techniques, including high throughput sequencing and data analysis. Strong research background with comparative evolutionary questions, insect herbivores, and natural history is
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(the Million Tutoring Moves [MTM] dataset), along with open-source applications that support data processing and analysis grounded in Responsible AI principles. A core part of the NTO’s mission is to develop
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in the biological sciences and experience in molecular genetic techniques, including high throughput sequencing and data analysis. Strong research background with comparative evolutionary questions
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, and will support ongoing deployment and expansion of tools such as Cornell’s Transportation Environment Analysis Model for Cities (Cornell TEAM-Cities), the emerging urban transportation, environment
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at scientific conferences. • Contribute to the CNCPS development and support outreach efforts to disseminate findings to nutritionists and producers. Anticipated Division of Time Research 50% Data analysis 40
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to create the world’s largest open-access dataset of tutoring (the Million Tutoring Moves [MTM] dataset), along with open-source applications that support data processing and analysis grounded in Responsible