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Vacancies PhD Position - Developing methods for multi-disease test evaluation Key takeaways Background and Challenge In healthcare, numerous "multi-disease tests" are quickly appearing. They aim
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Method (FEM) Numerical simulation (e.g. Abaqus, UMAT) and coding experiences (Python, Fortran) are a must Additional Information Benefits We offer a position in an inspiring, multidisciplinary and
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to react to the wind before it hits the blades. Using upstream LiDAR measurements (taken several rotor diameters ahead), you will develop a wind field forecasting method, leveraging principles like Taylor’s
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grip) and the quality and behavior of snow is highly variable, which is a challenge for design when comparing outdoor test results with laboratory conditions. Therefore, numerical simulation tools
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application of numerical simulation tools to support feasibility and compatibility studies, as well as pre flight and post flight exploitation analyses, within the assigned perimeter of responsibility
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numerical methods for the inverse design of nanophotonic structures enabling broadband, multiparameter sensing in fiber-based systems. The project is a collaboration between AMOLF, TU Eindhoven, and
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environment that encourages innovation, teamwork, and professional development. If you are motivated to apply advanced numerical methods to real-world structural challenges and contribute to the sustainable
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LiDAR measurements (taken several rotor diameters ahead), you will develop a wind field forecasting method, leveraging principles like Taylor’s Frozen Turbulence Hypothesis, to estimate incoming turbulent
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the nacre in seashells, by combining them with soft organic polymers. This project proposes a method to mimic this by using 3D-printed concrete as a scaffold to guide the growth of a chitinous fungal network
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Council (CNR-ISMAR) of Italy Mario Sprovieri. The main goal of this new initiative is to jointly advance the scientific understanding of the Mediterranean Sea, an area providing numerous vital services