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are expected to have a Ph.D. in theoretical particle physics or related areas prior to the time of employment. Preferences will be given to those with experiences in collider phenomenology, machine learning
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as an integrated analytical framework, we apply comparative risk assessment, disease modeling, machine learning, and survival extrapolation methods to systematically quantify the long-term impacts
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, with a strong interest in interdisciplinary research in biophysics. 2. Have a professional background in physics or mathematics or interdisciplinary biophysics, and experience in machine learning is
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] Subject Areas: Data Science Computer Science / Artificial Intelligence , Artificial intelligence and machine learning , Artificial Intelligence, Machine Learning, Large Language Models , Artificial
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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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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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engineering, compiler, computer architecture, machine learning, artificial intelligence, human-machine interaction, and embedded systems. Candidates with interdisciplinary background (e.g., at the intersection
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to answer social scientific questions. The successful candidate will be expected to teach interdisciplinary courses in our Computation & Design major, including Computational Social Science, Machine Learning
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, Jiangsu, China [map ] Subject Areas: Artificial Intelligence / AI/Machine Learning High Energy Physics / BSM , BSM new physics , Electroweak Symmetry Breaking , Higgs physics , Particle Theory
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/Multivariate Statistical Analysis/Biostatistics/Data Science and Technology/Artificial Intelligence/Machine Learning/High-Performance Computing/Big Data and other related fields Responsibilities and Requirements