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using learning-based algorithms Development of a simulation framework for stressor analysis and traffic equilibrium modeling Integration of predictive analytics and multi-agent reinforcement learning
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, processing, and interpretation of satellite and drone data, as well as (2) the development of operational applications for emerging intelligent earth observation technologies. Our team develops cutting-edge
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for implementing system developments based on innovative technologies to improve operational efficiency, must adhere to safety requirements for scalable and well-documented solutions to acquire regulatory approval
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/ reference gas analysis and a software algorithm for data treatment. Collaborate with leading AMS laboratories to ensure comparability of on-line measurements with established low-frequency monitoring
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. The focus is on developing AI-supported, sensor-based solutions for real-time monitoring and optimization of manufacturing processes. These solutions aim to assess process conditions during production
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experts in architecture and engineering, we have developed a tool called AIXD for AI-assisted forward and inverse design. Currently, we are developing a plugin to enable Virtual Reality (VR) exploration
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80%-100%, Zurich, fixed-term The Development Economics Group (DEC) at ETH Zurich is dedicated to empirical economics research that can inform more effective policies to reduce global poverty and
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-corruption, financial crime, development or governance issues. Key responsibilities Online media and community engagement Maintain and enhance the Basel Institute's presence on key online channels, including
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develop and run the weather and climate model ICON. We are seeking a High Performance Computing (HPC) software engineer to further develop and optimize the ICON model (80-100%). Project background In order
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the state-of-the-art of model-based planning support for transport and urban systems under uncertainty. The doctorate will develop new tools and methods that integrate large-scale agent-based modelling