816 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Cornell University
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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-rewards . Our leave
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learning, intellectual engagement, and hands-on experience with a wide array of cutting-edge techniques in genomics, metabolomics, and microbial research – all within a collaborative and inclusive scientific
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responsibility for teaching in the veterinary curriculum, including facilitating problem-based learning groups in the pre-clinical physiology curriculum (approximately 12 weeks of teaching commitment), and
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flexible hours, which may include evenings and/or weekends, as appropriate. Ability to teach informal educational programs. Ability to effectively participate in professional team efforts. Ability to plan
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contingent on available work, funding, and performance. To apply: Please apply via Academic Jobs Online ( https://academicjobsonline.org/ajo/jobs/31846 ). Qualified candidates should submit a short cover
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diverse team and perform with minimum supervision. Have basic computer and technical skills including familiarity with Microsoft Office and the ability to learn electronic medical record system (ezyVet)and
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responsibilities for academic and nonacademic positions within the department. To apply: Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/31846 Qualified candidates should submit a short
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. The focus of this position is developing methods to disentangle dynamic, multiscale ecological signals from large, noisy observational data. This work lies at the interface of statistics, machine learning/AI
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materials by bringing together computer scientists, materials researchers, and data scientists to tackle knowledge- and data-centric challenges at the intersection of AI and materials science. In this AI-MI
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information. Ability to work effectively with college, university, and departmental financial offices. Commitment to continuous learning. Preferred Qualifications Experience in higher education with grant