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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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Description The New York University Abu Dhabi Computational Approaches to Modeling Language (CAMeL) Lab seeks to hire a post-doctoral researcher to work in any of the lab research areas, to be
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control subjects and patients through collaborations with Cleveland Clinic Abu Dhabi to develop and test the “phenotypic fingerprint” method. This approach is inspired by large ongoing studies including
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of concrete. To develop structural-health-monitoring networks specifically directed toward the oil and gas industry. To develop novel self-healing cementitious materials through chemical and/or bio
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, cardiovascular, and neurologic diseases. These projects entail computational modeling, device design and manufacturing, optimization of chemical, mechanical, and electrical characteristics, and preclinical
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collaborations with Cleveland Clinic Abu Dhabi to develop and test the “phenotypic fingerprint” method. This approach is inspired by large ongoing studies including the UK Biobank and the Human Connectome Project
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. This is an excellent position for candidates entering the final year of a PhD program who are looking to postpone the formal economics job market and build a strong academic record. The position does not
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, machine-learning model development, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must
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models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations and/or experimental
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of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or experimental means. The PDA is expected to actively disseminate results through publications in