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variants as functional and assess their impact on gene expression. Contribute to large-scale modeling of engineered traits to predict performance and optimize design. Required Qualifications: PhD in
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economics, data science or closely related field, with strong quantitative skills and demonstrated experience in applied econometric analysis, large-scale data integration, and global or regional economic
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(not all are required): Large-scale data analysis and learning analytics methods Experimental or quasi-experimental design; validity and measurement Working with LLMs, including prompting, fine-tuning
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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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, education, and participatory science focused on birds.” One of six centers at the Lab, the Center for Engagement in Science & Nature engages the public by gathering biological information at large spatial
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of six centers at the Lab, the Center for Engagement in Science & Nature engages the public by gathering biological information at large spatial scales while creating dynamic educational content and web
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, New York 14850, United States of America [map ] Subject Areas: Data Science / Statistics , Applied Mathematics , Artificial Intelligence , Bayesian Statistics , Big Data , Scientific Machine Learning
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) at Cornell University has an opening for a Postdoctoral Associate to work on the CMS experiment at the Large Hadron Collider (LHC). The Cornell CMS group has a broad involvement in many aspects
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tools and workflows (e.g., PyTorch, TensorFlow, JAX, scikit-learn) and with data management for research (e.g., large datasets, metadata, reproducible experiments), including experience integrating new
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Professors are non-tenure track teaching faculty members who are hired on multi-year appointments with the expectation of renewal and promotion. Candidates for the position should hold a PhD in a computing