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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
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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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, 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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qualification. Candidates should have a PhD in Materials Science and Engineering, Chemical Engineering, Chemistry, or a related field. We welcome applicants with recent PhDs and individuals seeking additional
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(or be close to completing) a Ph.D. in Applied Mathematics, Electrical or Mechanical Engineering, Physics and Applied Physics or a related field. Working in a newly established fluid dynamics laboratory
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of Professor Nidal Hilal, Director of the Water Research Center and Global Professor of Engineering and professor Raed Hashaikeh, Professor of Mechanical Engineering. The successful applicant will lead an
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grant funding and the terms of the research grant when extending an offer. A PhD in psychology, neuroscience, computer science, engineering, or any other related field. Other requirements