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crane. The successful candidate will build reproducible machine learning pipelines, integrate detections into spatial ecological models, and generate conservation-relevant outputs for regional partners
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crane. The successful candidate will build reproducible machine learning pipelines, integrate detections into spatial ecological models, and generate conservation-relevant outputs for regional partners
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focus, as well as potential research, on pedagogy. We seek scholars with interest and skills in creative approaches to teaching history of art and visual studies that combine traditional object-based
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advance the study of cultural heritage objects using synchrotron x-ray techniques through building partnerships between CHESS scientists, Cornell faculty, and regional collecting institutions and to lower
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(EASL ) working group at the Cornell High Energy Synchrotron Source (CHESS ). The Cornell EASL group’s mission is to advance the study of cultural heritage objects using synchrotron x-ray techniques
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object-based approaches with new classroom technologies as well as any critical (positive or negative) engagement with AI-technology. The Postdoctoral Associate will (i) work with department faculty
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that combines modern machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting structural errors, reducing manual effort from weeks
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interactions across interventions. MIXTAPE engages a multidisciplinary team from five research institutions, led by Cornell University and Bangladesh Agricultural University. With the objective to map adoption
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, by emailing mycareer@cornell.edu . Notice to Applicants: Please read the required Notice to Applicants statement by clicking here . This notice contains important information about applying for a
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mycareer@cornell.edu . Notice to Applicants: Please read the required Notice to Applicants statement by clicking here . This notice contains important information about applying for a position at Cornell as