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, an imaging platform, and a prototyping platform. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8002-MATBER-006/Candidater.aspx Requirements Research FieldNeurosciencesEducation LevelPhD
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. The project aims to elucidate how DNA sensors and T Helper 17 Cells (Th17) responses drive this inflammation. The work involves preclinical models and immunological, molecular, and histopathological approaches
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, benchmarking of current building energy performances, deployment of new sensors & hardware, and quantitative evaluation of energy savings. You will be required to coordinate with multiple internal and external
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Appointment Term: Two years Appointment Start Date: Around end of summer 2025 Group or Departmental Website: https://digonnetgroup.stanford.edu/ (link is external) How to Submit Application Materials: silurian
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sensors systems, 2D/3D cameras and LiDAR, inertial sensors, radar technologies, GPS, and calibration methods Real experience in designing, implementing and testing of robust, efficient perception algorithms
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the already developed sensor network (visitor density). • Creation of multi-objective recommendation mechanisms, balancing individual satisfaction and mitigation of tourist overload. • Automatic generation
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the Marie Skłodowska-Curie Doctoral Network (ENDOTRAIN). Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis
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photonic technologies are rapidly converging, creating new opportunities for miniaturized sensors, imaging systems, and advanced communication devices. Integration of electronics and photonics is essential
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detection and sensory applications are increasingly influenced by multiphysics phenomena. While these effects were once considered noise, advances in sensor miniaturization and sensitivity have made them
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seconds), 2) very compact, allowing a SBEC magnetometer to search for short-range monopole-dipole forces that are out of reach of other sensor technologies and 3) very clean, well-understood systems