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accelerator physics • Python (or C++, Fortran) coding • analytical skills • basis of data analysis • a high level of communication skills, both oral and written (French and English required) to be able
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-Induced Phosphorescence (LIP) Additional diagnostics—potentially in collaboration with TUD—or complementary numerical simulations may be used to support the physical analysis of the turbulent flame
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(especially fMRI), experimental design, data analysis and programming (e.g., SPM, MATLAB, Python, R,…), scientific writing, and very good organization and communication skills. The ideal candidate is able
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problem caused by unidirectional replication initiation in the proliferation arrest induced by DciA depletion. The thesis work will be divided into two parts: (i) analysis of the consequences of DciA
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and transcriptomic data that will be subjected to bioinformatic analysis to integrate and interpret complex datasets, helping us to better understand the underlying mechanisms of the disease. Our
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tantalising patterns of deviations from the Standard Model flavor SU(3) symmetry of the strong interactions. Understanding the origin of these deviations requires the analysis of additional data, which LHCb is
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-insulator transitions, etc. The second area includes activities relating to "nanoscience" in the broadest sense. These are approached from the perspective of fundamental properties, when the dimensions
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equipment, particularly in imaging and electron microscopy, image analysis, and bioinformatics. The team is composed of five people. The thesis will be carried out as part of a collaborative ANR project
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of the recruited person in their in-depth analysis will depend on their interest and skills. However, the recruited person will participate in the collection of these samples. Finally, the person recruited will have
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., valves); - Development of a coupled simulation tool, integrating the expander model with the linear alternator model developed at IES; - Parametric simulations and sensitivity analysis to assess