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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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Science (Ref: FST241110) Job Description Candidates with expertise in one or more of the following areas: Database Management Systems, Programming Languages, Machine Learning, Data Mining, Data Processing
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discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning
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Areas: Data Science / Computer Science , Machine Learning Computer Science / Artificial Intelligence , Computer Architecture , Embedded Systems, Edge Computing, and Mobile Computing Systems , Human
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(normally PhD) degree in electrical and electronics, mechatronics, intelligent controls, robotics engineering, computer science, artificial intelligence, computer vision, mobile robotics, machine learning
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cultural data. Experience with AI tools such as machine learning for sentiment analysis, data mining for social trends, or computational linguistics for linguistic analysis will be highly regarded
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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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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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: 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