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systems, game theory, graphs, knowledge representation, logic, machine learning, networks, operating systems, programming languages, protocols, security, social choice, software engineering Deadline
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1668, as amended); master’s degree in the field of Social Sciences, in the discipline of Security Science; knowledge, skills, and experience necessary to teach subjects related to crisis management
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1668, as amended); master’s degree in the field of Social Sciences, in the discipline of Security Science; knowledge, skills, and experience necessary to teach subjects related to defence and security
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new knowledge with a clear academic and social impact, in fields such as AI-enhanced translation workflows, Neural machine translation, large language models, or multilingual NLP, Multimodal and
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Certifications, Training, and/or Licensures: None Knowledge, Skills, and Abilities: Knowledge of: instructional design principles and e-learning tools; common business technology platforms, operating systems, and
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to work with veterans and military-connected students to enrich the Center of Excellence for Veteran Student Success. To serve as a single point of contact to coordinate comprehensive support services
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assessment of student learning data and other data provided for Program Review Participate in department meetings, program advisory committee meetings, and college-wide eventsMaintain technical knowledge in
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programmes. We are especially keen to hear from applicants with expertise in areas such as Machine Learning and Deep Learning, Generative AI, Data-Centric and Responsible AI, or AI for real-world applications
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 16 days ago
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about Artificial Intelligence, Machine Learning
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) Neuromodulation approaches (TMS, tDCS, TUS) Neurogenetics Computational modelling (machine learning, reinforcement learning) Our research bridges scales (local circuits to global networks) and species (humans, mice