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contribute to a research project focused on irrigation mapping, detection of irrigation timing, and quantification of water supply in irrigation systems using remote sensing data. The primary focus
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to join our team at the Center for Remote Sensing Applications. The successful candidate will contribute to a research project focused on irrigation mapping, detection of irrigation timing, and
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). Experience in GIS and ecological mapping. Strong scientific writing skills and command of scientific English. Initiative, autonomy, and willingness to conduct fieldwork. Application Documents: Cover letter
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soil mapping with specific responsibilities as presented below: Conduct research on the development and application of spectroscopy methods such as near infrared and FTIR as alternatives to traditional
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detection. Familiarity with real-time applications of AI/ML in embedded or IoT devices. Knowledge of cloud-based computing platforms for data processing (e.g., AWS, Google Cloud). Understanding of BMS
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integrating IoT systems with cloud platforms such as AWS IoT, Azure IoT, Google Cloud IoT, ThingsBoard, etc. Familiarity with Edge Computing architecture to process data locally before transferring it to
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. Knowledge of IoT communication protocols (MQTT, CoAP, LoRaWAN, Zigbee, BLE, Wi-Fi, LTE, etc.). Experience in integrating IoT systems with cloud platforms such as AWS IoT, Azure IoT, Google Cloud IoT