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Field
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real-world test flights to validate system performance on an innovative VTOL platform (https://aerogriduav.com/). AI models to predict ship motion to optimize landing timing. You will work at the MAVLab
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. One challenge here is to understand and control the dynamic response of the system for complex input signals. Your goal will be to explore material systems that host novel types of correlated electron
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and random fields. Experience with analytical and/or numerical methods for modelling qubit dynamics. Ability to work independently and collaboratively in a research team. TU Delft Delft University
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energy storage, community energy models, and data management. The role focuses on Dutch energy law, frameworks for circular economy, localised energy governance, renewable energy and data-driven markets
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quantum networks, long-term quantum information storage, and complex quantum simulations. While these demonstrations point to a wide range of applications, critical challenges regarding color center physics
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conducting lifetime modeling, developing advanced condition monitoring techniques, and applying data-driven analytics for lifetime prediction. You will play a central role in integrating experimental insights
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, interdisciplinary environments, reflective of the user-committee of the project who represent a typical construction project team. Skilled in managing complex projects, leading their own research and ensuring
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congestion, and enhancing sustainability. Your research will investigate the governance models adopted for energy hub platforms. These include, for example, decision-making processes, coordination mechanisms
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into the theoretical aspects of solid-state quantum computing in spin qubits platforms. This includes gaining expertise in device physics, microscopic modelling of different materials, and quantum information theory
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and Social Sciences (BMS), we unite the worlds of people and technology to address today’s complex societal challenges. We are passionate about understanding human behaviour, fostering responsible