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of predictive models of incidence and severity of chestnut rot disease and risk maps. 4. Objectives: - Georeferencing of chestnut groves and collection of geographic, edaphic-climatic, agronomic and varietal data
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, Google Cloud, Azure). • Knowledge of or experience with IoT systems. • Understanding of communication protocols, particularly MQTT and/or LoRa. • Basic knowledge of databases (relational and NoSQL, e.g
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
apparatus # Study particles from industrial partners to map attachment and detachment kinetics as functions of water composition, reagents, dosages, and their interactions # Quantify ion-specific effects
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pre-processing, including background correction and normalization.; • Develop algorithms for spectral feature extraction and chemical map generation from LIBS data.; • Apply multivariate analysis and
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) Preparation of relevant outputs for the project team, including maps, charts, and technical reports. 4. Support to scientific and field activities, including participation in data collection campaigns when