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into the studied machine learning methods (e.g., performance, hyperparameter optimization, stability, etc.). The work will be conducted with collaboration with Prof. Jeff Yao and Prof. Cosme Louart. Qualifications
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into the studied machine learning methods (e.g., performance, hyperparameter optimization, stability, etc.). The work will be conducted with collaboration with Prof. Jeff Yao and Prof. Cosme Louart. Qualifications
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] Subject Areas: Statistics and Data Science(including Machine Learning, Actuarial Science, Mathematical Finance, Bioinformatics, Artificial Intelligence etc) Appl Deadline: none (posted 2024/12/03) Position
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, China [map ] Subject Areas: Physics / Atomic Molecular and Optical Physics , artificial gauge fields , Cold Atom Physics , Condensed Matter Theory , Machine Learning , Quantum Hydrodynamics , Quantum
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Technologies; Sustainable Exploitation & Utilization of Resources; Cycling and Extraction of Key Elements; Carbon Capture, Utilization, and Storage; Machine Learning for Energy Materials; Advanced Manufacture
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Physics Machine Learning Nuclear astrophysics Nuclear Theory Quantum Machine Learning Appl Deadline: 2025/12/31 11:59PM (posted 2024/12/31, listed until 2025/12/31) Position Description: Apply Position
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/ Theoretical Particle Physics Lattice QCD and Heavy Ion Physics Lattice Field Theory lattice gauge theory Nuclear Physics / Lattice QCD (more...) Machine Learning / Machine Learning Appl Deadline: 2025/09/30
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defined areas of Statistics/Data Science (including Machine Learning, Actuarial Science, Mathematical Finance, Bioinformatics, Artificial Intelligence etc) at the highest level; to establish
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, quantitative finance, risk quantification, financial risk management, machine learning/AI in finance or similar areas depending on the evolving needs of the department. The successful candidate is also expected