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emergency medicine, as well as in some medico-surgical specialties such as ear, nose and throat surgery (ENT). Data from the literature suggest that tracheal intubation is used for airway management in nearly
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Open Positions DC 4: Use of machine learning tools for estimating EGs performance. Host Institution University Grenoble Alpes (France) Main Supervisor Alice Di Donna (alice.di-donna@univ-grenoble
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. The project proposes an innovative approach to model sea ice dynamics from the ice floe scale to the basin scale, leveraging hybrid data assimilation and machine learning methods to shape a physically robust
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. The researcher will have an office space with a computer and a suitable technical environment. The IBMP is accessible by public transport. On-site cycle parking facilities and staff catering. Where to apply
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an internationally recognized research team at LAAS-CNRS in Toulouse, focused on developing autonomous mobile machines that integrate perception, reasoning, learning, action, and reaction capabilities
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draw upon the experience acquired by other individuals to complement its own, which allows it to save learning time and avoid the risk of harmful consequences from inappropriate behaviour. It is crucial
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sometimes struggle to effectively sustain patients' learning throughout their rehabilitation journey and may not adapt to the evolution of their abilities. Rehabilitation is a complex process that requires
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required: The candidate should have a strong interest in evolutionary genomics and ecology; should be willing to acquire an extensive training in bioinformatics and statistical data analysis; should have
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, these CMCs will increase the lifespan of engine parts to increase robustness and facilitate the maintainability of military and civil aircraft. Description of the subject: This thesis project is based on a
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individuals to complement its own, which allows it to save learning time and avoid the risk of harmful consequences from inappropriate behaviour. It is crucial that these different strategies, involving varying