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in a variety of lossy media. The project will give you an opportunity to work with theoretical, numerical and experimental aspects of machine learning assisted design of antennas and metasurfaces
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. Despite their potential, challenges remain in accurate modeling, sensing, and control due to their highly deformable and nonlinear nature. This PhD project aims to advance the navigation and control of soft
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complex anatomical structures such as blood vessels, the bronchial tree, and endoscopic pathways. Despite their potential, challenges remain in accurate modeling, sensing, and control due to their highly
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doctoral candidate who meets the following requirements: A background and strong interest in aluminum alloys, fatigue analysis, and numerical modelling is preferred. Experience with computer aided design and
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strong interest in aluminum alloys, fatigue analysis, and numerical modelling is preferred. Experience with computer aided design and engineering (CAE, e.g., Abaqus, Ansys) software tools commonly used in
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and quantitative sustainability assessment methods, including Life Cycle Assessment (LCA), Energy System Analysis (ESA), and socio-economic modeling. The candidate will be expected to contribute
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-world medical applications? Do you want to design next-generation protein therapeutics using cutting-edge generative models and validate them in the lab? Join a collaborative PhD project at DTU
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an extrusion machine that produces large-scale earth blocks Building a 3D printer that utilizes earth materials for construction purposes Developing numerical process models that simulate 3D earth printing
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of our research: theory and modeling, sample growth and fabrication, experiments and demonstrations. We have created a dynamic research environment of young and senior scientists aimed at excellent science
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performance utilizing reliable and computationally efficient numerical structural models. To support the condition (state) assessment, you will also explore the use of advanced estimators (e.g., Kalman Filter