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for further development. Mentor students Job Requirements: Master’s degree in civil engineering or related field At least 1 year of relevant experience in signal processing and machine learning. Good written
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Responsibilities: Conduct research on the design and analysis of scalable machine learning systems using convex/nonconvex optimization and federated learning methods. Develop algorithms and prototypes
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of machine learning, simulation-driven testing, and iterative calibration based on real-world datasets. Contribute to scholarly publications, technical documentation, and progress reports required by funding
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for real-time, bidirectional data exchange between DT and EMS, incorporating secure data pipelines and resilient middleware. Improve predictive performance and operational robustness through machine learning
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on emerging privacy-preserving techniques such as homomorphic encryption, secure multi-party computation and federate learning. Key Responsibilities: Conduct advanced research in the areas of privacy-preserving
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Responsibilities: Conduct programming and software development for data management. Design and implement machine learning models for optimizing data management. Conduct experiments and evaluations of the designed
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Intelligence and Data Analytics in Air Traffic Management Systems. The selected candidate will work on developing innovative machine learning models to address key challenges in the future airspace system
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-academic venues. • Experience with programming (primarily Python) and machine learning libraries. • Curiosity and passion to explore new concepts, methods and technologies, and capability
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-academic venues. • Experience with programming (primarily Python) and machine learning libraries. • Curiosity and passion to explore new concepts, methods and technologies, and capability
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on learning efficiency and credit attribution effectiveness. Job Requirements: Preferably Bachelor’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly