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future of smart agriculture. II. Positions and Requirements A. Young Scientists: 5 Positions Research Area 1: Scientist in Bio-breeding Algorithms Develop intelligent decision-making algorithms and models
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, denoising and super-resolution. Develop target detection, motion analysis and tracking algorithms for challenging operational scenarios. Investigate and implement multi-sensor fusion strategies across
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the position are: Integration of multimodal sensors (e.g., physiological, kinematic and behavioural signals) into a driving simulator for patient assessment. Development of algorithms for the analysis
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, preprocesamiento y procesado avanzado de datos de observación de la Tierra multifuente, incluyendo imágenes Sentinel‑1 y Sentinel‑2, nubes de puntos LiDAR y otros sensores (hiperespectrales, UAV, etc.).Ingestion
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TO BE CARRIED OUT: Design of semantic models for quality assessment • Training models using colorimetric data from agricultural products • Installation of thermal and visible-light sensors • Programming
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applications of various sensors and actuators; solid mathematical foundation; priority will be given to those with experience in developing industrial-grade control algorithms, signal processing algorithms
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to the logistics digital twin. Develop AI algorithms for anomaly detection, delay prediction and internal logistics optimization. Integrate IoT sensors at key points of the logistics and production processes
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. Main tasks and responsibilities: Development and validation of machine learning algorithms for health-related experimental data. Improvement of data analysis workflows for metabolomics, chemical sensing
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to the logistics digital twin. Develop AI algorithms for anomaly detection, delay prediction and internal logistics optimization. Integrate IoT sensors at key points of the logistics and production processes