Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
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
-
. • Strong expertise in geospatial data analysis and machine learning techniques applied to Earth Observation data. • Proficiency in geospatial software and platforms such as QGIS, ArcGIS, or Google Earth
-
to Earth Observation data. • Proficiency in geospatial software and platforms such as QGIS, ArcGIS, or Google Earth Engine. • Programming skills in Python or similar scientific computing environments
-
. Excellent communication skills and ability to work in a multidisciplinary environment. Familiarity with cloud-based computing platforms (AWS, Azure, Google Cloud) and high-performance computing (HPC
-
. Knowledge of cloud-based computing platforms for data processing (e.g., AWS, Google Cloud). Understanding of BMS architecture and electric mobility systems.
-
. 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
-
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 architecture and electric mobility systems.