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in one or more of: Computer vision and Machine learning in development of AI for anatomical landmark detection and/or finite element modelling 2D/3D image segmentation using deep learning 3D–2D
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experience of management of research, using both qualitative and quantitative methods. With excellent communication skills, you will have expertise in finite element analysis (FEA), impact analysis
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coding. Experience or exposure to finite element analysis (FEA) for structural analysis of mechanical components using SolidWorks Simulation or equivalent software. Experience or exposure to electronics
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design, timber construction, CNC fabrication, robotic assembly, plate structures, semantic data models, finite element analysis, and plugin development. The PhD position (full-time) will span 4 years
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characterization, and/or component validation and verification. Strong background in CAD, finite element analysis, additive manufacturing, integrated computational materials engineering techniques and software
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applications Human-centric and sensing-enabled mechanical systems Strong background in computational modeling and analysis, including finite element analysis (FEA), multiphysics simulations, and data-driven
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of academic background and scientific publications (45%); Experience in analysis and simulation and finite element software for the analysis of building components; energy and thermal simulation (30
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, or modelling. Familiarity with computational tools (Matlab, Python, or finite element analysis). Analytical thinking and enthusiasm for interdisciplinary research. Ability to work independently and as part of a
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management. Demonstrated experience in one or more applied computational fields: application of modern machine learning methodology, algorithms, computational modeling, finite element analysis, computational
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National Institute of Research and Development for Electrochemistry and Condensed Matter | Romania | about 1 month ago
of materials. • Numerical simulation (CAE) of fluid dynamic behavior using finite element analysis (FEM) and strength criteria. • CAD design (Catia V5, Ansys). Important skills include openness to learning and