110 parallel-computing-numerical-methods-"Simons-Foundation" positions at NEW YORK UNIVERSITY ABU DHABI
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to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to building and strengthening a
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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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Description Quantum & Spin Lab in the Chemistry Program within the Division of Science at New York University Abu Dhabi (NYUAD), is seeking a highly motivated and skilled Post-doctoral Associate
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for a tenure-track position in the Control systems and intelligent decision-making within the Electrical Engineering (EE) program. Emphasis will be given in: a) Machine and Reinforcement Learning
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of the requested profile will entail development and optimization of chromatographic methods and protocols for fractionation, separation and identification by mass spectrometry of hydro-soluble and lipo-soluble
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(UF), membrane distillation (MD), and nanofiltration (NF) processes. The role involves advanced membrane fabrication techniques and a range of membrane characterization methods, such as SEM, EDS, TGA
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perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems This position
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electrophysiological methods like MEG. The candidate will work in a multidisciplinary environment consisting of PhD- and MA-level scientists, and undergraduate students. Applicants must have a BA in Psychology or
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infrastructure monitoring, as well as connected autonomous vehicles Integrating multi-modal sensor data with physics-based models Developing robust and adaptive methods for real-time parameter and state estimation
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will support cutting-edge projects in urban science, computational social science, and usability research. You’ll work closely with our team of Principal Investigators (PIs) to design and implement data