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technologies generate large volumes of heterogeneous data and often require advanced technical expertise to operate, configure, and interpret. This PhD project will explore how Large Language Models, Natural
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the MARIANNE team at the I3S Laboratory (Laboratory of Computer Science, Signals, and Systems in Sophia Antipolis) of the CNRS and Université Côte d'Azur. The team is based at the Inria Center at Université Côte
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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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simulations, optical modeling, and rigorous experimental validation. The focus will be on the design, prototyping, and testing of a novel XAO instrument based on the iMz architecture. Unlike conventional
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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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appreciated skills: - experience in conducting complex experimental work with Electric applications and/or Cryogenics, - numerical Modelling skills Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant
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. The doctoral research is part of the TIRIS Scalingup Microcoredeal project, which aims to develop micro-models with a focus on designing and fabricating models that bridge the gap between laboratory settings and
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models that bridge the gap between laboratory settings and natural environments. It fits with Sustainable Transitions axe of the TIRIS program (https://anr.fr/ProjetIA-22-EXES-0015 ), addressing challenges
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tomography, high-pressure reactor) with numerical modelling (COMSOL) to quantify and predict dissolution. • Select and characterise biogenic shells (foraminifera, pteropods) from oceanographic cruises
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Description The PhD student will join the Centre for Research on Animal Cognition (CRCA), an institute dedicated to multidisciplinary and comparative studies of cognition in various animal models. Based