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. Experience: The ideal candidate should have some knowledge and experience in a number of the following topics: Turbulence modeling with wave propagation simulations Modulations used in optical wireless
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chemistry and life cycle thinking in early decision-making. AI-based methods and hybrid models, which integrate data-driven and mechanistic modelling, hold significant potential to enhance prospective
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contact Holger Voos at: Your profile Solid experience / knowledge in the following areas: Design and modeling of soft materials and soft robotic components Modeling and simulation of drones Mechatronics and
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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Research or a related field Strong knowledge of quantitative and/or computational research methods, ideally in numerical optimization and simulation models. Proficiency in one of the major programming
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. The focus is on automatic emotion detection in text, with special attention to crosslingual differences in emotion verbalization and to how multilingual models deal with such differences. You will publish
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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optimization and simulation models. Skills in a major programming language such as Python A collaborative team player with a desire to make a personal impact within our interdisciplinary research group and our
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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-supply of evaporation amidst deforestation, global warming, and drought. Our approach will integrate global climate model (CESM) simulations under varying vegetation scenarios with state-of-the-art