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to an unprecedented extent. The main topics include the description and modelling of wind turbulence, the analysis of interactions of turbulent atmospheric wind flow and wind energy systems, as well as control of wind
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gates have been demonstrated across various physical qubit platforms. However, achieving universally useful quantum processors requires integrating and controlling millions of qubits, making scalability
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. The acronym CAUSE stands for Concepts and Algorithms for - and Usage of - Self-Explaining Digitally Controlled Systems. Digitally controlled systems are ubiquitous in our everyday lives, from transportation
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of plant development. You will work in an interdisciplinary team with postdocs from Jülich and Hohenheim. Your tasks Literature research and (meta-)analysis to provide evidence-based knowledge for model
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aims to revolutionize our understanding of molecular interactions at solid–liquid interfaces through innovative experimental approaches. By combining expertise in: Feedback controlled thermofluidic
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Jun 2025 Financing yes Type of Position Full PhD Working Language English German Required Degree Master Areas of study Automation Technology, Mechatronics, Robotics, Systems Engineering, Applied
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applications, such as wireless and wireline communications, satellite systems and high-accuracy radars and sensors for industrial automation. Multiple research associate / PhD candidate positions are available
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understanding of transport systems spanning microscopic, mesoscopic and macroscopic levels. Of particular focus will be automated planning methods that leverage emerging data and novel metrics that embed ethics
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patient-derived, isogenic-corrected patient-derived controls and healthy-derived iPSCs and evaluate pathomechanisms through in-depth molecular, physiologic, and morphologic phenotype analysis. WP2
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engineering aspects related to dynamic modeling and the Guidance, Navigation, and Control (GN&C) of advanced autonomous spacecraft. Emphasis will be placed on real-time attitude control and proximity