84 modelling-complexity-geocomputation Postdoctoral positions in United Arab Emirates
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modeling (chemical transport models and/or reduced-complexity models), exposure assessment of airborne pollutants, and life-cycle assessment. The post-doctoral associate will be expected to lead research
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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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modeling (chemical transport models and/or reduced-complexity models), exposure assessment of airborne pollutants, and life-cycle assessment. The post-doctoral associate will be expected to lead research
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Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development, structural sensing and health monitoring, conducting physical
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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or more of the following: Centrifuge experimental testing (design, execution, and data interpretation) Numerical modeling and simulation to complement physical experiments Preferred) Proficiency in CAD
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(SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Post-Doctoral Associate to work on a fascinating project focused on the geomechanical modeling for energy
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networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis
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Geotechnical Engineering, or a related field with a focus on one or more of the following: Centrifuge experimental testing (design, execution, and data interpretation) Numerical modeling and simulation