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of theproject: 1. Initial coordination of the project 2. Optimization of the bed receiver using AI from the data already available. This consists of the operation of the bed under direct and indirect mode, using
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prototyping and digital twin development of industrial manipulators. Model-based and data-driven approaches for the motion accuracy optimization of advanced mechatronic systems. Mechatronic optimization
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Network. https://www.eu4greenfielddata.eu/ ***Double Degree PhD Scholarship in Computer Science Opportunity: "Optimization-simulation coupling for the GHG emission estimation based supervision and
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experimental data (imaging, process data) to feed into numerical modeling of the actual operation of the pilot (optimization of nozzle selection and operating conditions inherent to these nozzles
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processing and for large-scale cohort studies. Key Responsibilities: • Manage and optimize the sample management process, ensuring efficient workflow for high-throughput studies. • Ensure optimal performance
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of chemically storing and releasing hydrogen, using methanol as a reservoir. Main activities: • Utilize global optimization codes and perform DFT calculations on supercomputers. • Analyze results and
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and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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Conversion of Biomass” is looking for a Postdoctoral Researcher in Development of automated self-optimizing small-scale flow processes. The primary objectives are generation and optimization of automated flow
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and ML driven screening and optimization workflow to improve the generality of modern synthetic methods. Our first objective is to identify structural patterns and scaffolds that are accessible by
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quality requirements used at various points in the process; 4. Assessment of water reuse possibilities, including the identification of points where water reuse is feasible, identification of optimal reuse