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value-added materials. Objectives of the PhD The PhD candidate will focus on designing and optimizing green spinning processes for lignin-based fibers, relying exclusively on enzymes and water, avoiding
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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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and optimize specific functions. The ICMCB carries out fundamental research on model materials and/or materials with potential applications. The ICMCB is a UMR with an average of 280 agents (permanent
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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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mechanical motion into electricity; - An intelligent electronic control system, enabling optimized regulation of the thermodynamic cycle. Within the CALIFORCE3 framework, the REMLA system will be integrated
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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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of such high-performance fiber laser platforms requires advances in the development of high-reliability fiber components and optimized doped fibers. The first objective of this PhD project is to explore
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the context of LOFAR 2.0 (Harish Vedantham et al., ASTRON, Netherlands), MeerKAT, and SKA (Oleg Smirnov et al., SARAO, South Africa). It is funded by LIRA, which also provides optimal support to its doctoral