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environments to evaluate the performance of floating structures. Analyze hydrodynamic behavior of floating breakwaters under varied sea conditions. 2. CFD and Finite Element Modeling Perform Computational Fluid
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Implement explainability-driven active learning strategies for RBTO problems Perform finite element simulations to be used within AI-based surrogate frameworks Validate developed methods using benchmark
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robotic systems (e.g., robot arm programming, path planning, etc.). Evaluate rheological, thermal and mechanical properties and structural performance of developed composites. Perform finite element
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-computed tomography, and the associated analysis methods. Discrete element method and/or finite element method simulations. Physics of granular materials related to jamming, packing and deformation. Modes
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, reinforcing the collaborative spirit that defines our culture. Role Summary To undertake research into acoustic levitation systems including their design, finite element modelling, construction
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. • Computational Modeling: Utilize Finite Element Modeling (FEM) and AI/Machine Learning frameworks to predict and optimize the behavior of complex metamaterial architectures. • Fabrication
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electromagnetics is required for this post.The candidate should have expert knowledge of one or more computational electromagnetics methods, including finite-difference time-domain method, finite-element methods in
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structural components iv. Data acquisition, instrumentation and monitoring during laboratory testing Perform numerical modelling and simulation, such as finite element modelling, parametric studies, and
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-destructive testing (NDT) techniques for structural materials is desirable. Experience with structural modelling and analysis tools (e.g., finite element modelling, structural simulation) is desirable. Good
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. Competence in the theory of the finite element method is an advantage. Competence in the theory of numerical optimization is an advantage. Experience from high-performance computing is an advantage. Applicants