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at the Laplace laboratory, where numerical and analytical models are being developed to predict plasma potential control and flux entrainment from polarized electrodes. During the third year of the thesis project
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
-supervised by: Mohamed Maouche, Researcher at Inria Raouf Kerkouche, Researcher at Inria Sonia Ben Mokhtar, Researcher at CNRS Scientific context Recent advances in Large Language Models (LLMs) have enabled
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sequencing technique that enables faster reading of their controlled sequence. Our main goal is to set up an innovative platform based on the real-time optical sequencing of digital synthetic and natural
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, agronomists, technicians, and researchers to command robots, query data, monitor operations, and receive explanations through natural language or voice-based interaction. The research will focus on translating
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twenty scientists and seven PhD students in France and in Brazil. Close links are expected with another PhD thesis of paleoclimate modelling based in Brazil. The PhD thesis is also part of an active French
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make it possible to obtain new constraints on the parameters of the standard cosmological model and to test possible extensions to it. Achieving these goals will require extremely precise control
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mass ejections, and the rapid expansion of research into exoplanetary radio emissions using large radio telescopes (NenuFAR, LOFAR). Methods Use and processing of space-based (radio, particle, magnetic
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-fidelity modeling approaches combining simulations of different fidelity levels, ranging from RANS calculations to high-fidelity LES, possibly associated with various levels of geometric or physical
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may unexpectedly restore NK-cell function and promote tumor control. This PhD project aims to decipher how Notch and TGFβ pathways interact to regulate NK-cell biology and to exploit these mechanisms
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with a background in fluid mechanics or thermal engineering. Given the scope of the research project, a strong interest in both experimental work and numerical modeling is essential. Familiarity with