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. Experience with 5G or 6G transport, Xhaul, network slicing, SDN, or software-based network control. Familiarity with network modeling and simulation tools and with resilience and reliability metrics
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approximately 50% clean room work and process development, and 50% optical simulations (Lumerical, mode solvers, FDTD, inverse design, …) and optical experiments. The focus will be on fabricating novel devices
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conversion, automatic control, energy-storage systems, electrical drives, charging infrastructure, system modelling or optimisation. Experience in modelling, simulation or experimental validation of electrical
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University and imec. The estimated breakdown of the research activity is approximately 50% clean room work and process development, and 50% optical simulations (Lumerical, mode solvers, FDTD, inverse design
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products) and the host (cells, animals and humans) in synergy with the expertise available within the department; develop holistic models to simulate and steer these interactions; combine our expertise
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parallel finite element and numerical simulation codes. Design, run, and document computational experiments. Present research results at conferences and collaborative meetings. Contribute to the scientific
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. Experience with 5G or 6G transport, Xhaul, network slicing, SDN, or software-based network control. Familiarity with network modeling and simulation tools and with resilience and reliability metrics
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observational data. Experience with numerical simulations, effective field theories, or axion phenomenology is highly desirable. Beyond technical excellence, we seek a collaborative scientist committed to
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scientific publications of greatest relevance to the position copy of PhD degree or information on when it is expected to be completed copy of doctoral thesis and other relevant publications an account
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | about 2 months ago
foundation model of human tissue. By learning universal representations of cellular architecture across organ systems, this computational platform will map structural remodeling during aging and simulate