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Field
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deliver a theoretical, algorithmic, and real-time implementation framework for on-the-fly autonomy in crowds. The resulting methods will (i) adapt to unpredictable human interactions that introduce high
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
Thermography. This raw dataset is needed to be processed and annotated to train supervised and unsupervised AI models. The research will aim to develop deep learning algorithms for damage classification
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order to be successful, you bring: MSC in Computer Science, Physics, Engineering, mathematics or related disciplines with a strong background in data analysis, mathematical modeling and algorithms Good
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edge computing. Motivated candidates with strong mathematical and/or algorithm development backgrounds are especially sought. KIOS Research and Innovation Center of Excellence (KIOS CoE) The KIOS
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signature. Both black-box and white-box damage identification algorithms will be assessed. The resulting digital twin will serve as the foundation for a permanent SHM system for the galleries in the HADES URL
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Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
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Mathematics (Inverse Problems), Computer Science (Machine learning, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of the NXTGen High-tech
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algorithmic solution development. The group focuses particularly on automated decision-making in autonomous cyber-physical systems, combining mathematical optimization, machine learning, and decision theory
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algorithmic management in transforming organizational structures and labor relations The societal, political, and geopolitical implications of AI and related technologies The governance and regulation of AI
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); execute PoCs and tech transfer with foundries, equipment/materials/metrology vendors. Data & Platforms: Establish robust data governance and MLOps pipelines; develop reusable algorithms and prototype