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for Sensors & Systems Integration School Industry Solutions Campus Main Campus Detailed Job Description In order to ensure your application is received by NAIT for thorough review and consideration, please
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different institutions (CNES, CNRS, IRD, UT3). This position is part of the continuous scientific support to the ESA BIOMASS mission, contributing to the development and validation of higher-level forest
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, you have gained essentially corresponding knowledge in another way. The applicant is expected to have good knowledge of computer science, mathematics, algorithms, and programming. Knowledge and
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electrical power, enabling smart sensors to operate without batteries. You will explore novel capacitor-based rectifier architectures, adaptive impedance-matching algorithms, and on-chip protection mechanisms
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this PhD project, you will investigate the co-design between event-based learning algorithms and neuronal hardware units with multi-scale time constants. The algorithmic methodology will exploit recent
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communication Autonomous driving algorithms and technologies (e.g. vehicle control, path planning, scheduling) and sensors (e.g. lidars, radars, cameras, and GNSS) High-level integration of autonomous driving
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will design and implement novel computer vision and machine learning methods for “sensorized” cameras that extract medically relevant features without transmitting raw video. You will evaluate algorithms
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Research Infrastructure? No Offer Description Job description You will explore hardware/algorithm co-design for NeuroAI, simultaneously taking into account scalability inspired by modern AI workloads, as
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on sufficient and sufficiently clean water. However, we often lack the data to fully understand the dynamics of contaminants throughout the urban water cycle. Existing sensors for water quality monitoring do not
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/firmware different camera/sensor interfaces (USB, PCIe, CSI, MIPI..etc). LanguagesENGLISHLevelExcellent Additional Information Benefits What we do for you We offer you the opportunity to join one