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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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the OTC project DatA2Model-E, you will develop strategies for the optimal placement of measuring instruments in the water column of a (simulated) study area. You will reconstruct the dynamics of the study
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and manufacturing technologies for the manufacture of innovative products. We develop new machines and processing strategies on behalf of customers, optimize existing production systems and implement
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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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Max Planck Institute for Biological Intelligence (Martinsried site), Martinsried | Germany | about 3 hours ago
for optimizing press relations and creating reports with the most important KPIs and trend analyses. Support for public events (e.g., open house, Girls Day, tours, and lectures). Your profile Relevant
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 6 days ago
to understand the reaction mechanisms and stir the selectivity towards hydrogenated N-forms, while suppressing the formation of undesirable products Detailed modelling, simulation and optimization
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apply your knowledge in practice alongside your studies Attractive framework conditions: Flexible working hours to optimize the compatibility of study and practice If you are interested in putting your
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apply your knowledge in practice alongside your studies Attractive framework conditions: Flexible working hours to optimize the compatibility of study and practice If you are interested in putting your
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multi-parameter ion-beam tuning procedures (collaboration with Univ. of Vienna and HZDR) and developments of machine learning (ML)-algorithms for optimization of beam parameters and control of relevant