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their detection, (iv) enabling better analysis of exoplanetary radio emissions. • Use of data from the Juno/Waves mission and solar wind propagation models • Understanding the visibility biases of the various
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interfacial phenomena. The project is part of the ERC Starting Grant EMBIOMO, which focuses on the dynamics of embolism propagation within leaf vascular networks and on the development of biomimetic models
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provision—to the scientific community—of observations, data, and models for the geosciences and the environment. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5563-OLIVAN-006/Default.aspx
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simulation codes such as Geant4 and/or multiscale modeling approaches will be considered an asset. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5822-FLOJAC-103/Default.aspx Requirements
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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
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for environmental qualification campaigns. • Electromagnetic modelling and simulation of resonant microwave structures to support experimental investigations. • Preparation of technical documentation, including
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, biophysics, biochemistry, and molecular modeling, developing experimental and numerical approaches for the study of complex molecular systems. Within this institute, the Biophysics of Complex Systems team
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–Science research-creation project bringing together engineering, life sciences and design. This interdisciplinary framework will enable the candidate to develop innovative experimental models while engaging
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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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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