24 phd-in-concrete-and-structural-engineering Postdoctoral positions at New York University
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, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering
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Nonlinear Dynamics (L.A.N.D) within the Division of Engineering at New York University, Abu Dhabi is seeking to appoint one Postdoctoral Researcher starting September 2025. The successful candidate must have
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, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering
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. Candidates should have a PhD in Biology, Stem Cell Biology, Regenerative Medicine, Biomedical Engineering, or a related field. We welcome applicants with recent PhDs and individuals seeking additional
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responsible for conducting numerical and theoretical studies of turbulent flows and their associated geometric structures, focusing on passive and active scalar fronts, multiphase mixing layers, and
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collaboratively within a team. Applicants must have a PhD in materials science and engineering, chemical engineering, or related field. Excellent experimental and analytical skills relevant to the project (in
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, Assistant Professor of Electrical Engineering Research Project Description: Hydration of the body is a critical physiological health indicator, but it is challenging to measure accurately, especially in a
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growth of the CDS community. Located in the heart of New York City, we foster strong research collaborations with several top technology, media, and financial firms including Google, Meta, IBM, Microsoft
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of sensory neuroscience and expertise in at least one of the imaging methodologies involved in the project (OCT-A, structural MRI, fMRI, dMRI, ASL). For a competitive application at the post-doctoral level
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mechanical engineering, or related field to apply. A strong publication record is encouraged and previous experience in areas such as Neural network vulnerabilities and defenses, Anomaly detection, Adversarial