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Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a
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structural centrifuge testing and physical modeling. Advanced instrumentation and experimental simulation. Successful candidates must hold a PhD degree in Civil, Structural, Mechanical, or Material Engineering
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. Qualifications Candidate must have the required degree PhD for Postdoc or equivalent in Civil Engineering, Construction Management, Computer Science, Data Science, or a related field. Expertise in digital twins
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must have the required degree (BSc/MSc for Research Assistant or equivalent in Civil Engineering, Construction Management, Computer Science, Data Science, or a related field. Expertise in digital twins
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candidates must hold a PhD degree in Civil, Structural, Mechanical, or Material Engineering. Other related field such as Nuclear Engineering, Material Science, etc. are also welcomed. Required qualifications
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no particular order): Stability/Instability of coherent structures in 2D/3D flows. Stability/Instability in geophysical fluids and plasma physics. Spectral theory for non-self-adjoint operators. Candidates must
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the syntax of Kazakh. The successful applicant will work closely with the PI on a project on the syntactic structure of Kazakh. The project will explore both the grammar and processing of long-distance
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system for the structural performance of civil engineering structures. The project is a collaboration between multiple research groups and involves a diverse range of activities including: structural and
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real-world case studies, pushing the boundaries of construction automation and optimization. Qualifications Candidate must have the required degree PhD for Postdoc or equivalent in Civil Engineering
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the boundaries of construction automation and optimization. Qualifications Candidate must have the required degree (BSc/MSc for Research Assistant or equivalent in Civil Engineering, Construction Management