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-tolerant, optimal and distributed control, robustness and uncertainties adaptive control and autonomy. Interdisciplinary and application driven research is very welcome. Teaching responsibilities include
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Iterative Algorithms: Optimization and Control.” About the Project The focus of the project is the analysis of iterative algorithms arising from time discretizations of nonlinear evolutions of various kinds
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 16 days ago
our researchers with light microscopy, we provide training and maintenance for our seven confocal and widefield microscopes, help them to optimize and troubleshoot experiments, and provide image
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, experimentally grounded workflow for rapid microstructure-property optimization in steels. The PhD student will play a central role in this interdisciplinary initiative. They will: Develop and apply machine
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continuously optimizing the basic hardware components and refining the methods used to develop them. The design flow of these circuits and (sub)systems is particularly crucial, as it is considered the key
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all parameters align with the research requirements. Optimization of thin film structure: Optimize the thin film structure by adjusting deposition parameters, aiming for enhanced performance
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infrastructure automation and management via Ansible Contribute to the development of custom Transformer-based models for behavior detection, segmentation, and tracking Help optimize training and deployment
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Materials and Devices – Structure and Function of Materials (IMD-1) to establish a data-driven, experimentally grounded workflow for rapid microstructure-property optimization in steels. The PhD student will
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or discrete probabilistic structures is beneficial but not required. What we offer: WIAS Berlin is a premier research institution known for its strength in optimization, optimal control, dynamical systems, and
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focuses on the heterogeneous catalytic hydrogenolysis reaction of HMF to DMF in a batch reactor. A deep understanding of reaction kinetics and systematic process optimizations are crucial for improving