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, Energy, and Sustainability (SHORES) seeks to recruit a Postdoctoral Associate to work on a broader field of geotechnical engineering. Required Qualifications: A successful applicant must have a PhD in
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must have a PhD in Robotics, Control Theory, Mechanical or Electrical Engineering, Applied Mathematics, or a closely related field, with a strong focus on robot control, machine learning, and
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for Ordinary Portland Cement (OPC) without supplementary binders. The successful applicant will contribute to a multidisciplinary research environment, collaborating with PhD-level scientists, and
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workflows in complex organizational settings. Qualifications: Applicants must have a PhD in Computer Science or related field. Experience in one or more ML domains, such as deep learning, reinforcement
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. Applicants must have a PhD in mechanical engineering, and experience with computational heat transfer and machine learning for heat transfer, especially radiation. For consideration, applicants need to submit
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candidates will work in a multidisciplinary Center environment with world-class research infrastructure, consisting of PhD-level scientists, graduate students and undergraduate students. The terms
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and data science, the impact of cybersecurity on transportation systems, and more. Applicants must have received a PhD in engineering, computer science, urban science, or a related field. Experience in
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consisting of PhD-level scientists, graduate students, and undergraduate students, ensuring the candidate learns valuable skills in writing manuscripts and grant proposals, advising fellow researchers, and
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apply. A PhD dissertation or research papers that demonstrate a strong interest and research focus in any of risk analysis or minimization, robust optimization, deep learning for systems, probabilistic
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, specifically aimed at applications in the oil and gas sector. Moreover, the candidate will have access to the well-equipped core research facilities of NYUAD. Applicants must hold a PhD or equivalent degree in