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, proteomics); biomarker discovery for pregnancy complications and neonatal outcomes; computational biology, machine learning, and predictive modelling; translational studies integrating laboratory discoveries
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also explore machine learning and artificial intelligence-driven approaches to industry challenges, such as warehouse management, ocean freight optimization, and reshoring high-technology industry
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(NYUAD), seeks to appoint a talented researcher with an excellent record of academic success for a Post-Doctoral Associate position. The research will focus on the development and use of machine learning
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modelling. Irregular and multidirectional wave fields will be considered, together with full quadratic transfer functions (QTFs), wave forces and platform motions. Machine-learning and other data-driven
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(NYUAD), seeks to appoint a talented researcher with an excellent record of academic success for a Post-Doctoral Associate position. The research will focus on the development and use of machine learning
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machine learning techniques, particularly machine-learned interatomic potentials, in the context of chemical research. Knowledge of atomistic and coarse-grained classical force fields. Experience
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theoretical chemistry, machine learning and quantum information science. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in
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care by developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from
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the tool. Mentorship and Collaboration Dr. Philip Fisher will serve as the official faculty mentor for this fellowship. The fellow will also work closely with SCEC Senior Machine Learning Engineer Dr
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in Health Strong research record using AI in a health-related discipline. Applicants with the following training will be considered PhD in computer science, machine learning, AI or related