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vision, yet their ability to acquire new expertise remains limited when training data is scarce or specialised. This project aims to develop the next generation of adaptive visual learning systems by
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-based or LiDAR-inertial SLAM, high-accuracy point cloud mapping, or scan-to-scan registration. Experience with ROS 2 navigation stack, lifecycle-managed nodes, TF2, rosbag workflows, and distributed
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Sweden. About the position The project particularly aims to advance knowledge of the diversity, distribution and biology of a diverse group of conspicuous fruitbody-forming fungi – the waxcaps and allied
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 19 days ago
. Description: Satellite limb and occultation observations provide a unique opportunity to derive critical information about the vertical distribution of aerosols and trace gases with high vertical resolution
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, deepfake detection, and the question of how we can identify the origin of AI-generated content? We are looking for a Doctoral Researcher to join the funded project COWAMA: Content-based watermarking for AI
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Requisition Details GENERAL REQUISITION INFORMATION EEO Statement: UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals
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resilience in next-generation energy system digital twins. The position offers hands-on research using real-world utility data and community partners to support an equitable, data-driven energy transformation
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 19 days ago
investigators, including remote sensing reflectance, absorption, scattering, particle size distributions, and phytoplankton community composition. Develop remote sensing approaches to track particle sources and
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-design the power stage and its insulation system for safe MV operation, using FEM analysis of electric-field distribution, dielectric stability, and breakdown to guide topology selection, dv/dt management
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should have experience with immunology and are comfortable working with mice and/or patient samples. In addition, candidates with research experience with bioinformatics and next-generation sequencing