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, Engineering , Machine Learning , Machine Learning and Artificial Intelligence , Machine learning methodology and applications , Machine Learning Theory , Mathematics , Mathematics, Statistics and Computer
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Knowledge, Skills, and Abilities: Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field, with a strong foundation in artificial intelligence and machine learning
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Requirements Required Knowledge, Skills, and Abilities: Ph.D. in computer science or a related field (e.g., engineering, applied mathematics, statistics) awarded within the past 5 years. Strong theoretical
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Abilities: Associate degree in Business, Technology, Mathematics or a related field. Knowledge of trades, material supplies and components (electrical, mechanical, architectural, etc.). Experience with
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, or a PhD in Computational Physics/Chemistry/Biology, Computer Science/Engineering, Applied Mathematics, or a related field with 2+ years of relevant research experience post PhD Established track
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proposal development. Required Knowledge, Skills, and Abilities: Ph.D. in Physics, Computer Science, Applied Mathematics, Engineering, or a related field. Strong programming experience. Knowledge of inverse