132 algorithm-development-"St"-"St" Postdoctoral positions at NEW YORK UNIVERSITY ABU DHABI
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) seeks to recruit a postdoctoral research associate to join this new initiative focusing on designing and developing novel medical devices for ultimate human use. CENTMED oversees a variety of exciting
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at NYUAD include a 3T Prisma MRI, MEG, EEG, and eye tracking. In addition to supporting the research of the principal investigator, successful candidates will be encouraged to develop independent research
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would be for two years with the possibility of an additional year. The successful candidate is expected to take a leading role in the development of the group tasks and help in supervising PhD students
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include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled
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applications for fully-funded postdoctoral research associate positions. SITE is highly interdisciplinary and aims to develop novel enabling technology on hydrodynamic stability analysis that has applications in
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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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to recruit a Post-Doctoral Associate (PDA) to engage in cutting-edge research on the development of omni-band wireless systems for 6G and beyond. The PDA will be jointly supervised by Elza Erkip, Qurrat-Ul-Ain
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associate will lead collaborative efforts in advancing research focusing on the intersection of infrastructure, climate, and human health. Examples of current active projects include: Developing optimization
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University Abu Dhabi (NYUAD), seeks to appoint a talented researcher with an excellent record of academic success for a Post-Doctoral Associate position. The research will focus on the development and use
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critical that we fully understand the underlying cause(s). This project aims to identify biomarkers in the eye and brain that explain vision loss, building on our previously-developed method linking clinical