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of Finite Element Method, and FEniCS/Firedrake/Dune. Excellent communication and organisational skills. The ability to work independently and as part of a multidisciplinary and multicultural team. Networking
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to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so-called lean alloys, and material systems with a high tolerance to impurities from
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/high level Matlab and Python programming is required) and finite element method modeling. The candidate will participate in international collaborations and meetings and will have the opportunity
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Health Monitoring (SHM) and Weigh-In-Motion (WIM) systems integrated with advanced probabilistic methods, machine learning and Artificial Intelligence (AI) approaches, and 2) advanced Finite Element (FE
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) and multiaxial regimes (tension–compression–torsion; axial–axial cruciform in-phase and anti-phase), using modal and dynamic analyses through finite element software, and experimental frequency analyses
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the PhD, you will gain expertise in finite element modelling, electronic control and instrumentation, machine learning, experimental methods, and advanced signal processing. You will also build strong
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Structural Design, e.g. robust design under uncertainty and reliability analysis of full-scale wind systems, complementing established project activities in: multi-scale finite-element modelling
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: Master's degree in Mechanical Engineering, Ocean Engineering, Materials Engineering, Naval Engineering, or related fields, with a solid background in structural dynamics, finite element analysis, and
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with, enhance or replace established methods from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along the composition
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; expertise in computational mechanics and finite element simulation and modeling; expertise in laboratory and multi-scale experimental testing at the material, component, and structural levels. The candidates