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physics or related areas prior to the time of employment. Preferences will be given to those with experiences in collider phenomenology, machine learning, effective field theories, positivity bounds
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Engineering and Systems Data Science / Computer Science , Machine Learning Appl Deadline: 2025/11/10 11:59PM (posted 2025/09/24, listed until 2026/03/24) Position Description: Apply Position Description Duke
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Mathematical Statistics n Applied Statistics n Operational Research and Cybernetics n (Optional) Interdisciplinary areas in Mathematics and AI: Machine Learning, Statistical Learning, Optimization, Computational
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Language Models (LLMs) Computer Vision and Multimodal Intelligence Natural Language Processing Machine Learning Theory and Algorithms Reinforcement Learning and Decision Intelligence Generative AI and
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Machine Learning Theory and Algorithms Reinforcement Learning and Decision Intelligence Generative AI and Creative Applications Robotics, Human–AI Interaction, and Embodied Intelligence AI Systems and High
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language processing (NLP) to analyse historical texts, literature, and cultural data. Experience with AI tools such as machine learning for sentiment analysis, data mining for social trends, or computational
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: Machine Learning / Machine Learning Lattice Field Theory lattice gauge theory Nuclear Theory Nuclear astrophysics Appl Deadline: 2026/02/01 11:59PM (posted 2025/11/04) Position Description: Apply
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: Unity, Unreal) Fundamentals of Machine Learning, data mining, and Big Data analytics Neuroscience for Education (EEG, EMG, GSR, EDA, HR, ST, RR, HRV, BPR, etc.) Image and video processing Technological
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: Unity, Unreal) Fundamentals of Machine Learning, data mining, and Big Data analytics Neuroscience for Education (EEG, EMG, GSR, EDA, HR, ST, RR, HRV, BPR, etc.) Image and video processing Technological
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background in physics or mathematics or interdisciplinary biophysics, and experience in machine learning is preferred. 3. Have published high-level research papers in related professional fields. 4. Have a