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Postdoctoral Associate – National Tutoring Observatory Postdoctoral Associate – National Tutoring Observatory Description The National Tutoring Observatory (NTO) is based in Cornell’s Ann S. Bowers
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) integrate crop, hydrologic, and GHG/energy models to quantify trade-offs among yield, water, emissions, biodiversity, etc., (3) create decision-support tools and maps to guide farmers, extension agents, and
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will lead research at the intersection of crop-switching, environmental resilience, and agrifood sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling
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The National Tutoring Observatory (NTO) is based in Cornell’s Ann S. Bowers College of Computing and Information Science under the direction of Principal Investigator Rene Kizilcec. The NTO is a collaboration
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controllability • Learning and calibration strategies for uncertainty-aware language model prediction • Knowledge-augmented and neuro-symbolic approaches for language-based reasoning • Evaluation and design of LLM
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) and their relationships with neighboring tissues in pathophysiological conditions. We utilize in vivo mouse genetics, live imaging, 3D organoids, genome-wide Cas9/Crispr based functional genetic
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. • Familiarity with MODFLOW, MATPOWER, OpenDSS, Machine Learning based emulators, or agent-based modeling. • Knowledge of scenario development, resilience frameworks, and socio-environmental-technological systems
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parameter space, and using and/or developing agent-based models for the movement and behavior of fish in rivers. Presenting material at conferences, writing research papers for publication, and/or assisting
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
their assigned duty station. The Data-Driven EnviroLab (DDL) is an interdisciplinary and international research initiative based at UNC’s IE that is redefining how data is used to tackle the world’s most pressing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
, designing natural language interfaces for more intuitive navigation of the BDC environment, creating BDC-specific foundation models, and enabling large language models (LLM) and machine learning-based