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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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research interests might be considered, priority will be given to those able to relate to one or more of the above topics. Applicants must have a PhD in Mathematics, Statistics or Computer Science obtained
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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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at either the Postdoctoral Associate level, depending on qualifications. The appointment is for two years, with the possibility of renewal. Requirements: Ph.D. in Mathematics, Computer Science, Engineering
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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