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Field
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position as POSTDOC (F/M/X) in the Optimization and Optimal Control Group . (Full-time employee) for an initial period of one year, with starting date to be arranged. Your Tasks The full-time position is
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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includes both theoretical and experimental components. This fundamental research aims to open new perspectives on various topics: optimizing the stability of micro-mechanical systems, controlling the energy
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learning, to accelerate CFD optimization and enable adaptive control strategies for complex urban wind conditions. From an industrial standpoint, the objective is to deliver a cost-effective and efficient
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of neuronal and vascular responses; Contribute to the instrumental optimization of the imaging system (detector configuration, illumination control, multi-camera synchronization); Analyze and interpret
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side, you will investigate and develop data-driven methods for optimal and nonlinear control with a particular focus on dual control and on approaches to measurement scheduling and active sensing
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background in microalgal or microbial cultivation, photobioreactor operation, and process control. Knowledge of bioprocess design, hydrodynamics, or model-based optimization. Understanding of microbial stress
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looking for a motivated POSTDOCTORAL RESEARCHER IN OPTIMIZATION FOR COMPLEX ENERGY AND SUSTAINABILITY PROCESSES Are you looking for a future industrial research position or a long-term academic career? Do
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from estimation and optimization theory to hardware design. The specific topic of the project falls in the intersection of statistical signal processing and applied mathematics and is in particular
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OPTIMIZATION FOR COMPLEX ENERGY AND SUSTAINABILITY PROCESSES Are you looking for a future industrial research position or a long-term academic career? Do you want to be part of building up research – preferably