133 algorithm-development-"St"-"St" Postdoctoral positions at NEW YORK UNIVERSITY ABU DHABI
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diversity, developing empirically-informed models of human behavior, and designing innovative institutions and policies for promoting social welfare. C-BID offers a vibrant and stimulating research
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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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from individuals who have or will soon receive a PhD in Economics focusing on Macro, Labor and/or Development Economics. The appointment is for 2 years and will begin September 1, 2026, subject to final
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processes. Developing and optimizing functional membranes, including electrically conductive membranes, for use in desalination, energy generation, and electrochemical separations. Responsibilities: Conduct
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Windt. The collaborative research will be in the field of political economy of development, with an emphasis on projects related to displacement, service provision, and local governance, and will include
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(SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital
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computing where the focus will be to work on to the current efforts on accelerator developments towards the HL-LHC. Expertise in trigger development, performance and optimization and/or the ATLAS computing
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Dhabi (NYUAD) seeks to recruit a postdoctoral research associate to join this new initiative focusing on designing and developing novel medical devices for ultimate human use. Laboratory for Advanced
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of these research will be aimed at enhanced modeling of hydraulic fracturing and carbon sequestration. The project activities will involve the development of the theory and implementation of the advanced mechanics
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aims to identify biomarkers in the eye and brain that explain vision loss, building on our previously-developed method linking clinical, neural and behavioral data (Allen et al., 2018; Miller et al