727 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Cornell University in United States
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this link to get more information about our benefits: https://hr.cornell.edu/benefits-pay . Follow this link to learn more about the Total Rewards of Working at Cornell: https://hr.cornell.edu/jobs/your-total
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, and capacity to learn new skills. - Proven ability to independently conceptualize research questions and drive projects forward. - Excellent organizational, communication and time management skills
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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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scientists and build a workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial Intelligence (AI) and Machine Learning (ML) methods to tackle complex
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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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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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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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research, teaching, and mentoring at the undergraduate and graduate levels. The successful candidate will teach Cornell’s Human Bonding course, which regularly enrolls over 1000 undergraduates each year. The
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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