114 requirements-engineering-"https:" "https:" "https:" research jobs in United Arab Emirates
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19 Mar 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Engineering Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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24 Mar 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Engineering Engineering Mathematics Physics Researcher Profile Recognised Researcher (R2) Established
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and numerical models as well as constitutive model calibration and validation based on physical experimental data. Required Qualifications: A successful applicant must have a PhD in Engineering
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experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants
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Description The Center for Sand Hazards and Opportunities in Resilience, Energy, and Sustainability (SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a
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the Division of Engineering (Civil & Urban Engineering) seeks to recruit a Post-doctoral Associate to work on a broader field of geotechnical engineering. Required Qualifications: A successful applicant
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and collaboration in low-and-middle-income countries and good knowledge of R or other software for data management, analysis and visualization. The position does not require teaching, but it may be
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agreement. The successful candidate is expected to take a leading role in the development of the group tasks and help in supervising PhD students. Applicants must have a PhD in experimental high energy
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Nationals are encouraged to apply. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408277/post-doctoral-assoc… Requirements Additional Information Work Location(s) Number of offers
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. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management