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materials (Goswami group) and a theory group (Wimmer group) for numerical simulations. We welcome applications from motivated and passionate experimentalists with a background in low-temperature electrical
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about our team, we invite you to visit our website: https://flexteam.univie.ac.at/ . To learn more about FLEXPART, visit https://www.flexpart.eu/ . In the framework of the new research platform SPACETRACE
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and presentation record in peer reviewed journals and international conferences. Excellent written and spoken English skills Very collaborative Good social skills Place of employment The workplace is at
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, enabling breakthroughs such as memory-enhanced quantum communication, entanglement-based quantum networks, long-term quantum information storage, and complex quantum simulations. While these demonstrations
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rapidly digitalising society and contributes to the development of sustainable, inclusive, and pluri-/multilingual ecosystems across Europe. More information may be found on the MultiLAwa home page https
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components. You will explore how learning-based methods, such as imitation learning and reinforcement learning, can be integrated with model-based low-level controllers and multimodal sensing to enable contact
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methods to produce more accurate, equitable, and clinically useful models. The project offers opportunities to work with large linked electronic health records, advanced statistical methods, simulation
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or voice signal processing Experience with physical or numerical modelling and simulation (e.g. finite-element or acoustic modelling, vocal-tract or voice-production models) Good programming skills
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, MATLAB, or similar. Experience with numerical modelling and simulation, preferably using finite element (FE) and/or multibody dynamics (MBD) approaches. Ability to collaborate effectively with academic
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, physics-based numerical models will be developed to simulate train–track–bridge dynamic interactions and their resulting structural responses. The health condition of railway tracks on bridges will then be