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to integrate advanced sensing, electrical, thermal, and mechanical diagnostics to capture aging, degradation, and damage evolution under realistic service conditions. Emphasis is placed on non-destructive, real
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of mechanical metamaterials to achieve high specific stiffness and strength, energy dissipation, and damage resistance Morphological, microstructural, and mechanical characterization of the 3D printed
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The Division of Physical Science and Engineering at King Abdullah University of Science and Technology (KAUST), Saudi Arabia, invites applications for Postdoctoral fellow in Mechanical Engineering
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have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants are expected to demonstrate research experience in the fields of structural modeling and machine-learning
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understandings of structural behavior and concrete degradation mechanisms. The tasks comprise the development of the tracking system, the development of new concrete damage assessment based on spatially continuous
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for predicting the reliability of high-temperature structural components. This involves working with various continuum damage mechanics models and statistical reliability models. The goal is to enhance 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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excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. Salary and terms of employment The appointment will be based on the collective agreement with
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mechanisms that regulate dopaminergic neuron vulnerability in ageing and Parkinson’s disease, integrating human stem cell–derived neuronal models, in vivo studies and translational human tissue analysis
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/She must have a strong background in one or more of the following fields: experimental solid mechanics of thermoplastic composites, mechanical testing, fracture, damage mechanics and polymeric materials