813 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at Cornell University in United States
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Intelligence (AI) and Machine Learning (ML) methods to tackle complex biomedical challenges in nutrition and health. This is a one-year full-time benefits-eligible position that may be extended for up to four
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. Application Procedure: Interested parties should submit a resume and cover letter describing qualifications on-line at https://hr.cornell.edu/jobs under staff positions section. When applying through our
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written communication skills; Computer skills in word processing, spreadsheets and database management; Must be committed to creating and maintaining an environment that fosters positive youth development
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• Instruct veterinary students throughout the curriculum and extra-curricularly on management of hoof disorders of the horse o Didactic lectures and interactive sessions o Provide 2-week elective farrier
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Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/31583 ">https://academicjobsonline.org/ajo/jobs/31583 ). Qualified candidates should submit a short cover letter, curriculum vitae, and contact
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information for three references. Materials should be submitted online to: https://academicjobsonline.org/ajo/jobs/31195 ">https://academicjobsonline.org/ajo/jobs/31195 . Applications received by February 5
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can be found at https://hr.cornell.edu/jobs/your-total-rewards . To apply: Please apply via Academic Jobs Online ( https://academicjobsonline.org/ajo/jobs/31178 ). Qualified candidates should submit a
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transcripts. Materials should be submitted online to: https://academicjobsonline.org/ajo/jobs/31386 ">https://academicjobsonline.org/ajo/jobs/31386 . Applications received by January 31, 2026, will be given
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—are encouraged to apply, with opportunities to grow in other areas through collaborative mentorship and team-based learning. Department of Human Centered Design The Department of Human Centered Design (HCD https
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metabolomics, proteomics, and/or the integration of complex, multimodal datasets. We particularly encourage applications from scientists developing novel statistical, machine learning, or artificial intelligence