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communication skills, e.g., demonstrated by a track-record of publications Familiarity with topological physics or inverse design / topology optimization We offer DTU is a leading technical university globally
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cross-sectionally. * Developing and applying machine learning and AI approaches to identify interactive topological relationships between various imaging modalities and multi-omics during aging and
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) and genetics data which are measured by longitudinally and cross-sectionally. • Developing and applying machine learning and AI approaches to identify interactive topological relationships
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design. Objectives: The main objective is to support the development and validation of morphing drone prototypes by combining structural optimization, lightweight design, and experimental testing
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approaches, such as topology optimization, with gradient-free methods, such as genetic algorithm, in order to exploit the specific strengths of the two classes of algorithms, and through this reach an ideal
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of these two postdoc positions is to contribute to the modelling, simulation, and optimization across different LDES technologies, from device (ESS+inverter) to system level (grid integration) under different
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. Several topologies of these switching matrices have already been studied in the laboratory, using coplanar propagation lines, which are simple to fabricate and easy to integrate with PCM switches. However
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morphing-wing UAV prototypes. Methodology: Design and Simulation: ABAQUS, SolidWorks, ANSYS, or COMSOL for topology optimization and aerodynamic modeling. Fabrication: Composite layup, 3D printing (FDM/SLA
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. The goal of these two postdoc positions is to contribute to the modelling, simulation, and optimization across different LDES technologies, from device (ESS+inverter) to system level (grid integration) under
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phenomena at stake and the accurate prediction of such complex multi-phase, multi-physics system is then necessary to optimize the system parameters entirely. The first step consists in designing and