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, a valid driver’s license and meet requirements in accordance with SPPM 7.10 and departmental driving standards. Preferred Qualifications: Bachelor’s Degree in Nursing (BSN) Ability to learn advanced
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of the Alhambra and the Generalife. Project 2 — Machine learning for energetic-particle transport in thunderstorms This project explores machine-learning (ML) techniques to accelerate the numerical simula- tion
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California State University, San Bernardino | San Bernardino, California | United States | 8 days ago
, extended vacation and MSAs); leave status and accruals (vacation, holiday, sick, jury duty, bereavement, LWOP, AWOL, military, NDIL, IDL and compensatory time); and, changes in pay status (appointments, end
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. For more information, visit us online at: http://www.unlv.edu EEO/AA STATEMENT The University of Nevada - Las Vegas (UNLV) is committed to providing a place of work and learning free of discrimination
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engagement with industry and community partners, embedded in a culture of innovation that empowers all students to learn and succeed. We are “higher education at the speed of life!” Our Values: • Empathy: We
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detailed tasks accurately and with quality. The position will contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods in
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/faculty against departmental budget. Performs some simple budget monitoring/entry. Operates standard office equipment such as personal computers, copiers, fax machines, etc. Required Minimum Qualifications
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3 Mar 2026 Job Information Organisation/Company UNIVERSITE LE HAVRE NORMANDIE Research Field Computer science » Computer systems Computer science » Database management Computer science » Modelling
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 12 days ago
, financed by EU and national funds through FCT/MCTES (PIDDAC Workplan: Machine learning algorithms, in particular deep learning ones, suffer from the phenomena of catastrophic forgetting, which hampers
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of LCA methods and tools. • Familiarity with energy–water–land interactions, environmental impact assessment, or infrastructure planning. • Machine learning or data-driven methods for large-scale