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contribute to the advancement of the circular economy. The project proposes a multimodal sensing framework that combines cameras operating in visible and infrared spectra (NIR/SWIR), along with LiDAR-based 3D
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these standards portable and accessible. Based on the applicant's experience, the specific topic will be assigned to one of the following areas: - quantum Hall impedance standard - measurement optimization and
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materials, the design and optimization of catalytic reactors, the study of reaction kinetics, and the detailed microstructural and physicochemical characterization of catalysts. The primary objective is to
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environment. Key research Objectives: AI Innovation (Taxonomic Identification): Developing and optimizing deep-learning architectures (e.g., YOLO) for the automated detection and classification of nocturnal
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on the design, optimization, analytical and numerical evaluation of the performance and practical implementation of novel linear and non-linear backscatter-based identification and sensing transponders and
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optimization of advanced reconstruction and control algorithms, combining numerical modeling, inverse problem techniques, and AI-driven approaches, together with experimental validation to improve imaging
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, the precision and temperature stability of the new sensor/actuator will be optimized. Other possible projects include actuators for electric drives and sensors of electric currents, speed, for non-destructive
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surface functionalization, incorporating antibacterial peptides and other active compounds. Emphasis will be placed on tailoring physicochemical properties to optimize antibacterial performance and
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. For this QUESTING PhD position at the VSB Technical University of Ostrava, we are seeking a researcher to work on improving the efficiency of secret key rate in post-processing of QKD link. The topic
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approaches such as physics-informed machine learning (PINNs), graph neural networks for lattice structures, and neural operators for fast surrogate modeling, as well as AI-driven inverse design and generative