108 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Postdoctoral positions at Cornell University
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at the intersection of educational data science, AI in education, and the learning sciences, with additional advisory support from faculty and researchers across learning sciences, computer science, machine learning
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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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the university. Depending on interests and feasibility, they may be able to teach and/or engage in off-campus fieldwork with Professor Bezner Kerr. Anticipated Division of Time The successful candidate will split
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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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To apply: https://academicjobsonline.org/ajo/jobs/31821 Applicants should submit: CV Cover Letter 1–2 page research statement describing research interests and how they relate to the Cornell Global AI
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, implementation, and assessment of active learning pedagogy that strengthens ‘systems-thinking’ throughout the cross-college Environment & Sustainability (E&S) major. This is a full-time position, based
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of active learning pedagogy that strengthens ‘systems-thinking’ throughout the cross-college Environment & Sustainability (E&S) major. This is a full-time position, based at the Ithaca campus. We expect
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researchers across learning sciences, computer science, machine learning, and education research. Research Role Research themes for the NTO Postdoctoral Associate include, but are not limited to: Developing
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This position will not supervise anyone. To apply: Please apply via Academic Jobs Online ( https://academicjobsonline.org/ajo/jobs/31628 https://academicjobsonline.org/ajo/jobs/31628 ">). Qualified candidates
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this diversity. Our research spans comparative genomics, chromatin architecture, gene expression, protein abundance, and metabolite profiling—combined with computational biology, machine learning, and advanced