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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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Interatomic Potentials) code for ternary compounds with variable composition with crystal structure optimization algorithms (evolutionary, random, etc.); - Application of the CSP DFT/MLIP methodology to various
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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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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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expert on the use of optimal transport theory in inverse problems, Prof. Elvander is working towards making the framework a powerful tool for applications in signal processing and control. Your role and
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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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Deploy, commission, and operate TES X-ray microcalorimeter spectrometers at APS beamlines, including cryostat integration, beamline interfaces, alignment, and stability optimization. Perform pathfinding
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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