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an asset Extensive coding experience (R, Python) would be a strong asset Supervisory experience with students or research staff Application Instructions Applications must be submitted via Interfolio by 18
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for publication in high-impact journals and conferences; Create, maintain, and document high-quality research code for reproducibility; and Collaborate with scientists within the NYU Global Network and in Abu Dhabi
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include algorithm design, prototype implementation (e.g., in Matlab/Python), deployment (to the agents’ autopilots using the Robot Operating System), and experimental testing (on unmanned vehicle swarms). A
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combination of techniques such as rodent behavioral analysis, biochemical, molecular and cell biology, in vivo and in vitro fluorescence imaging, and next-generation sequencing. Position duties would include
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of manuscripts for publication in high-impact journals and conferences; Create, maintain, and document high-quality research code for reproducibility; and Collaborate with scientists within the NYU Global Network
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multidisciplinary research team including experts at NYUAD and Cleveland Clinic Abu Dhabi with a demonstrated track record in vision science, neuro-imaging, neuro-ophthalmology and deep learning. Using Advanced
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experience with the Adult Attachment Interview, the Attachment Script Assessment, or narrative coding/natural language processing are encouraged to apply. Further, statistical expertise in structural equation
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structural level), 3D printing and physical modeling for structural and geotechnical application, programming and coding (preferably using Python and C++) along with GUI and simple computational tool
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, programming and coding (preferably using Python and C++) along with GUI and simple computational tool development. The candidates will work in a multidisciplinary environment consisting of PhD-level scientists
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developing economies. We seek a candidate with expertise in both empirical and theoretical economics, with good coding skills. The role will involve designing surveys, working with existing datasets, and