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for Digital Twin Earth (AI4DTE). The main goal of DTEClimate project is to maximize the information extracted from EO data by extracting sensor information and generating actionable, uniform, accurate, complete
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, Effects, and Criticality Analysis (FMECA), functional FMECA, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault
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environment perception in autonomous driving by integrating acoustics. Possible research directions include the use of audio-visual foundation models, audio-driven sensor fusion for object detection, cross
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fusion for autonomy. Digital Twin & Edge Computing: Implement real-time synchronization and analytics. IoT Integration: Design and manage data acquisition from sensors and UAVs via embedded systems
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interdisciplinary research project at IDLab-MEDIA (https://media.idlab.ugent.be/ ), UGent – imec, aimed at advancing the state of the art in motion capture, sensor fusion, immersive media, and 3D computer vision
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). The main goal of DTEClimate project is to maximize the information extracted from EO data by extracting sensor information and generating actionable, uniform, accurate, complete physical parameters layers
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fusion and multirobot coordination, including multirobot perception, decentralization and mission execution. The RAI team has a strong European and National participation in multiple R&D&I projects. Duties
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the question ‘how close to failure is the asset?’. By integrating a suite of state-of-the-art sensors and monitoring technologies with data fusion and AI analytics, this research will enable timely
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methods. Supported by the Marie Skłodowska-Curie Actions programme, the ElectronsMatter network is addressing this challenge through Electron Beam Powder Bed Fusion (EB-PBF), a cutting-edge Additive
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Freiberg, Sachsen | Germany | 23 days ago
rigor # Proficiency in Python (or Julia/R) for data handling, ML model development, and statistical analysis # Ready to work with time‑series data, sensor fusion, and feature engineering # Very good