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on representing the structural response physical experimental testing for structural and geotechnical applications data acquisition and processing from monitoring systems validation of modeling results against
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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., 2019; Pedersini et al., 2023). We
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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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Research / Post-Doctoral Associate in the Division of Science Computer Science, Dr. Djellel Difallah
machine learning. The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity
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://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply. If you have any questions, please email: mohamad.eid@nyu.edu . About NYUAD: NYU Abu Dhabi is a degree
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on interdisciplinary teams that include social scientists. This position requires excellent computational and data management skills, and a knowledge of social science research processes and practices. Furthermore
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generating multi-omics data from a large collection of mouthwash samples, bioinformatics data analyses, microbial cultures, as well as managing the day-to- day functioning of the lab. Applicants must hold a
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and data science, the impact of cybersecurity on transportation systems, and more. Applicants must have received a PhD in engineering, computer science, urban science, or a related field. Experience in
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experimental data. Required Qualifications: A successful applicant must have a PhD in Engineering Mechanics, Civil Engineering, or Mechanical Engineering. Applicants are expected to demonstrate research
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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