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and particles, while the latter can induce radial redistribution or losses of EPs, limiting their contribution to plasma heating. Traditionally, these processes have been studied separately, assuming
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of quantitative methods of data processing and analysis, optimization and scientific programming, in the following areas. * The search, structuration and analysis of economic, energy and emissions-related data
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hypothesis testing to assess the validity of a set of candidate thresholds. Therefore, the internship position aims to extend this work by exploring one or multiple of the following directions of improvement
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. Moyens / Méthodes / Logiciels Matlab, Python, Signal processing, Digital communications Profil du candidat Required skills: •Signal processing and digital communication •MATLAB/Python •Proficient in using
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good understanding of matrix algebra • Good understanding of RF power amplifier design (Class of operation, loadline theory, loadpull…) • Good understanding of semiconductor process such as CMOS, BiCMOS
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to better represent hydrogen demand flexibility in both models; implement the required changes in ANTARES (b) Analyse and interpret model results - Process and analyse the outcomes of the models developed in
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long repetitive and complex process. (2) Assess how LLM perform and can be complementary to traditional tools used for evaluation (formal methods, using Frama-C and Lazart). Internship tasks •Literature
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challenges and the role of innovation processes and their integration into society. This work is carried out within the framework of projects, with both institutional and academic partners. The cluster now