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the Job related to staff position within a Research Infrastructure? No Offer Description 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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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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the duration of a signal theoretically, in tight collaboration with experimental colleagues. The project requires interest in developing statistical physics, stochastic processes, or information methods, a focus
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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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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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: https://eo4society.esa.int/communities/scientists/ More specifically, the Trainee will be part of the Earth System Science Hub, a new science laboratory in ESA working as center for networking and
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Digital Twins: You will use numerical tools, including COMSOL and the open-source HemoCell simulation package, to model cell-scale thrombus formation. Experimental Validation: You will not just code; you
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interest in learning, adaptation, and dynamical systems in physical contexts Experience with analytical and\or computational modeling. Proficiency in numerical methods and coding (Python, JAX, MATLAB