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of Paris at Sorbonne University. The research team involved in the project is composed of scientists whose expertise spans electrochemistry, corrosion, surface science, and vibrational spectroscopy
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consumption of logic gates, and developing efficient techniques for energy harvesting from vibrations. Main tasks: - Theoretical and experimental optimization of the resonator geometry - Optimization
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Nanophononics is a promising field with great potential for controlling sound and heat at the nanometer scale. Over the past thirty years, intensive research on the vibrational properties of semiconductor
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to understand the temporal variations in solar and cosmic background noise measured by the various detectors comprising the instrument, to relate them to solar activity that occurred during the mission, and to
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phase vibrational spectroscopy (IRMPD). This technique uses state-of-the-art lasers coupled with mass spectrometry, ion trapping, and ion sources. The candidate will study the effects of molecular
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. The work will be carried out at the LCPME – Laboratory of Physical Chemistry and Microbiology for Materials and the Environment (https://www.lcpme.ul.cnrs.fr/ ) located in Villers-lès-Nancy. The candidate
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probabilistic modeling of weak signals in the image related to sensor noise developed on JPEG images [Taburet et al., 2020, Giboulot et al.,2021, Giboulot et al.,2022]. The modeling of the sensor noise will be
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heterogeneous, datasets unbalanced, and they may cover overlapping wavelength ranges with different signal-to-noise ratios and spectral resolutions. Moreover, the atmospheric models we use remain imperfect and
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of the project with the different partners. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR2940-ELOBER-142/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent
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), Paris, France. The candidate will be responsible for: - Modelling the health impacts of environmental prevention policies, particularly in the areas of air quality, noise, physical activity and/or urban