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in quantum clocks and sensors. The network offers international secondments, joint training events, and close interaction with an international cohort of doctoral fellows. The doctoral candidate will
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renewable products derived from biomass is being considered in all industrialized countries and is on EU's agenda. The goal is to reduce dependence on oil and limit carbon dioxide emissions (greenhouse gas
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developed by the team. Experimental study of hydrogen combustion for gas turbines Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5502-LAUSEL-004/Candidater.aspx Requirements Research
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physicochemical characterisation of these materials using a wide range of techniques (XRD, IR, NMR, UV-Vis, gas sorption, electron microscopy, etc.), as well as in the evaluation of their catalytic properties
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obtained from multi-sensor networks across urban areas. A novel synergy approach will be developed that combines observations of thermal stratification from microwave radiometers, profiles of wind and
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the University of Montpellier and the CNRS. It specializes in the study of sensors, components, and systems 2 intended for hostile environments. The primary objective of the IES is to design and develop innovative
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of front-end electronics and miniature RF antennas for chronic implantation. You will prototype and characterize the wireless link (power + sensing), design and optimize sensor-resonator coupling, and
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sensing, the continuous increase in the spatial resolution of satellite sensors considerably amplifies the computational requirements for analyzing ever more detailed observations. Physics-informed deep
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life. Expected skills : • Master in chemistry with a background in coordination chemistry, organic chemistry or related fields • Routine in preparative synthesis (including work under inert gas
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Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 1 month ago
. Machines must be equipped in-situ with smart sensors and supported by systems that can process such as images and time series, in real time. Machine learning and AI have become essential for driving