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disability and need assistance with the hiring process, please call Human Resources at (870) 338-6474, ext. 1271. Department: Workforce Training Department's Website: Summary of Job Duties: Teach, develop and
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. For more information, visit us on line 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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Computer Science and Artificial Intelligence Deliver foundational and core courses including: Object-Oriented Programming Data Structures Discrete Structures Computer Organization Introduction to Machine Learning
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 11 minutes ago
. Above all, we prioritize student success, and seek to give our 16,500 students the lift of a lifetime through learning anddiscovery. We love to open opportunities available nowhere else for our community
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fully funded PhD position in the area of safe data-driven system identification for cyber-physical systems, offered by our research group at the intersection of control theory, machine learning, and
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(GSAPP), Office of Professional Development and Continuing education (OPDCE), is currently seeking a mental health professional with expertise in a particular content area and the ability to instruct a
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at the crossroads of AI, machine learning, bioinformatics and genomics, and in developing new methods rather than just applying existing ones, we'd like to hear from you. Website for additional job details https
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, United States of America [map ] Subject Areas: Electrical and Computer Engineering / artificial intelligence , Artificial Intelligence and Machine Learning (AI/ML) Starting Date: 2026/01/01 Salary Range: $62,232-$80,000
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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. Position You will work actively on the preparation and defence of a PhD thesis focusing on machine learning-based forecasting of renewable energy production, with a particular focus on wind energy. The