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ability to work collaboratively in a multidisciplinary research environment. Preferred Skills: Experience in graph-based learning, attention mechanisms, and transformer architectures applied to chemical
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, ThingsBoard, etc. Familiarity with Edge Computing architecture to process data locally before transferring it to the cloud. Implementation of pipelines to collect real-time data from IoT sensors. Expertise in
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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.
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
ML concepts and architectures and hands-on experience with open-source AI/ML packages (such as pytorch, scikit-learn, tensorflow, JAX etc.). Preferred Qualifications: Good grasp of concepts in solid