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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
with related fields, including marine biogeochemistry, physical oceanography, environmental genomics, remote sensing, ecological modeling, and/or data science (AI and machine learning). We
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with European industry. The EISLAB division at Luleå University of Technology conducts research in electronic systems design, sensor systems, cyber-physical systems, the Internet of Things and machine learning
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to): biophysics, cold atom physics, electronic structure theory, hydrodynamics, machine learning, materials science, statistical physics, strongly correlated electrons, and quantum information. Theorists who wish
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experience Required Qualifications: PhD in Electrical Engineering or a closely related field. Preferred: Demonstrated expertise in AI/ML, including deep learning, computer vision, LLMs, VLMs, multimodal AI
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. Required qualifications include a PhD or equivalent degree with exceptional expertise in machine learning as well as postdoctoral qualifications and teaching experience equivalent to the requirements of a
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, Machine Learning, or related areas. - Knowledge of Large Language Models and Retrieval-Augmented Generation. - Experience or interest in Knowledge Graphs, Semantic Web technologies, information retrieval
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to the IE faculty's Doctoral Programme (https://www.ntnu.edu/ie/research/phd/ ), see Section 6-1 of the PhD regulations for more information. You must have a relevant Master's degree in Computer Science and
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distributed systems, mobile systems, machine learning, Cybersecurity and secure computing, data science and AI, and theory. Our faculty are engaged in multidisciplinary research and encourage collaborative
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Summary The Department of Electrical and Computer Engineering at Ritchie School of Engineering and Computer Science at the University of Denver is looking to hire adjunct faculty to teach a variety of
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, micro-CT, particle size analysis, calorimetry, and synchrotron experimental measurement techniques. Knowledge of AI-based and machine-learning methods is also beneficial. For further information about a