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courses in computing and related areas, with preference for candidates who can teach in one of the following areas: AI and Machine learning (courses like Applied Machine Learning, Deep Learning
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FAIR principles, combined with skills in statistical analysis, machine learning and/or data science. Experience with programming languages such as R, Python, or similar will be considered an advantage
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. Recognised Researcher position has been opened. The ideal candidate holds a master's-level background in robotics, AI or related fields, with strong Python/C++ skills and experience in machine learning
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quantitative field. Strong background and expertise in data science, bioinformatics, network science, artificial intelligence, machine learning, deep learning, or related areas. Solid understanding of AI
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. · Artificial Intelligence, Machine Learning, and Data-Driven Systems – edge AI, embedded intelligence, and neuromorphic computing. · Cybersecurity & Privacy – hardware and IoT security, post-quantum cryptography
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skills are required for electronic health records, UNG Banner system, and telehealth programs/equipment. Must be able to learn to navigate the telehealth system with training. Requires occasional coverage
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on the Owatonna Campus. The instructor may be assigned to teach in a traditional classroom, a virtual (online) classroom, or both (multimodal).Activities related to comprehensive community college teaching and
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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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collaboration. FLCC offers many different course modalities, such as Asynchronous Online, In-person, Hybrid, HyFlex, and Synchronous Online. Adjunct Faculty members may have the opportunity to teach in one
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collaboration. FLCC offers many different course modalities, such as Asynchronous Online, In-person, Hybrid, HyFlex, and Synchronous Online. Adjunct Faculty members may have the opportunity to teach in one