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eco-friendly sensor technologies, favoring collaborations between local industrials and academia and building innovations between local actors to create startups on disruptive technologies. Within
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evaluation of algorithms for: perception in robotics; sensor based control and navigation ; interactive mobile manipulation; multi-sensor data modelling and fusion. This job offer takes place within
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trophic (phytoplankton growth and loss) variables of the Thau lagoon and the Mediterranean Sea (Station 00SETE) in an innovative way using in situ data from high-frequency automated sensors; 2) linking
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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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of systems in constrained environments and sensors and instrumentation. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5214-JEAGAY-082/Candidater.aspx Requirements Research
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for the High-Luminosity LHC. Our primary responsibility is the integration of double-sided silicon sensors onto mechanical support structures (ladders), including the associated electrical, optical, and cooling
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- Design pilot and data collection of MEEG and behavioral experiments with Psychtoolbox, JsPsych, Pavlovia - Univarate and multivariete analysis (RSA, encoding and decoding models) of MEEG data at sensor and
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movements can be preceded by slow movements lasting from several days to several years. These movements can be detected and tracked by satellites, either using radar or optical sensors. Since 2016, data from
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analysis for more geometries and with a reduced number of sensors - Implementation of the MSE method on a cylindrical structure immersed in water and sensitivity analysis - Algorithmic and experimental
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) * electromagnetic design of device using soft-ware such as comsol *clean room fabrication using both optical and e beam lithography *Optoelectronic characterization of infrared sensor (I-V, photocurrent spectrum