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experience with high-throughput sequencing data analysis, especially RNA-seq. Background in statistical modeling, machine learning, or data mining applied to large biological datasets. Familiarity with tools
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rehabilitation. The successful applicant will have the following technical experience in: PhD degree in Electrical, Mechanical, or Material Engineering (or related field) OR 3-5 years of industry experience
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, and Simultaneous Localization and Mapping (SLAM) is desired. The position is open to PhDs with background in robotics, controls, AI, and/or computer vision. The candidate is expected to work in a highly
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learning, and Data-driven modeling and control. The Post-Doctoral associate will be based at NYU Abu Dhabi and will directly report to Prof. K.J.Kyriakopoulos in close collaboration with other researchers
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on mechanical properties, such as ability for elastic or plastic deformation. The candidate will conduct experiments related to assigned research projects, process the data, and prepare results for presentation
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technologies and data sources; as well as the combination of traditional traffic flow theory concepts with new empirically derived models and data science ideas. Applicants must have received a PhD in
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Quantum Walks. Related areas such as Quantum Information can also be considered. This position is offered through the research funds of Mostafa Sabri. The Mathematics Program at NYUAD is quickly expanding
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Description The Laboratory for Computer-Human Intelligence in the Division of Engineering of New York University Abu Dhabi (NYUAD), seeks to recruit a motivated Post-Doctoral Associate to work
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initiating and designing their own research projects, leading the generation and analysis of experimental data, presenting project progress in meetings, training junior researchers and students, and publishing
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the field experiment, analyzing the data and estimating users’ preferences for Automated Taxis. Successful applicants must have a PhD in a field related to survey methods techniques and transport demand