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300mm etching reactors located in CEA/Leti's clean rooms. It will involve : 1) Create the lithographic design adapted to requirements (GDS) 2) develop/optimize plasma etching processes for AlGaN and GaN
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recovered in solid form by oxalic precipitation followed by calcination of the formed precipitates. One of the industrial challenges in designing the factory of the future is to optimize this precipitation
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complexity by guaranteeing solutions close to the theoretical optimum through local optimization methods. Third, the integration of user preferences allows generating personalized explanations according
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of this project are to work on optimizing pulsar timing methods and to exploit pulsar data from French radio telescopes: the large Nançay radio telescope, NenuFAR, and LOFAR. In particular, this postdoc will
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of these tools and will be expected to introduce their own modifications in order to adapt and optimize the analysis for the study at hand. Other tasks include: * Optimizing the experimental setup (4D observations
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PostDocs, and several Ph.D. students. More in general, research at LAAS-CNRS spans robotics, optimization, control, telecommunications, and nano-systems. The robotics department at LAAS-CNRS counts more than
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and fed with data available in the literature. The model will first be developed online and then reduced and optimized for integration into embedded electronics, taking into account performance
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further complexity. When surfactants are added, liquid foam layer forms in the column. Understanding the bubble size distribution and dynamics within the foam layer is essential for optimizing separation
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on the principles and implementation of biological experimentation techniques -Establish and optimize data collection and control procedures -Perform data processing -Organize data formatting and storage -Participate
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leveraged to improve existing modulation models describing how large scales alter heat transfer. Optimal oscillations will be designed using reinforcement learning. Extending inner-outer interaction models