61 data-"https:"-"https:"-"https:"-"https:" positions at NEW YORK UNIVERSITY ABU DHABI
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Description The Data Science & AI research lab at New York University Abu Dhabi is seeking postdocs who are passionate about any or all of the following: Data Science, Computational Social Science
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availability). We seek a candidate with interest in fertility, family studies, economic demography, and family economics, and expertise with online surveys, field experiments, RCTs, and applied data analysis
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Physics, Spectral Theory, Quantum Chaos, Large Graphs and Quantum Walks. Related areas such as Quantum Information can also be considered. This position is offered through the research funds of Mostafa
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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
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
. These frameworks integrate IoT-enabled sensing and real-time analytics to support continuous monitoring, data-driven evaluation, and predictive maintenance. The work also address user comfort and indoor
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their environmental and economic impacts; Support in experimental design, data collection and analysis, and dissemination of findings through reports and publications. Qualifications: A bachelor’s or master’s degree in
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fabricated; 3) Geographical Information Systems in mapping these data and analyzing spatial patterns. An experience of working in/administering a museum is a plus. The successful candidate will engage in
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decision process for innovation, collecting neurophysiological and other relevant data, programming and analysis routines, as well as quantitatively analyzing the data collected. Candidates must hold a PhD
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crystals using either electron or X-ray diffraction techniques. While candidates with experience in structure analysis based on powder diffraction, neutron diffraction, or scattering data will also be
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main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications