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to investigate traffic profiling and monitoring and intrusion detection on encrypted traffic in a zero-trust, programmable network architecture. A major focus is designing and implementing in-network machine
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-Resilient Encryption, Privacy-preserving Financial Investigations, Graph Analytics, Criminal Network Discovery, Suspicious Activity Detection, Digital Content Provenance and Authenticity, etc., which
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, Machine Learning, AI Generation Models. Experience with privacy-preserving technologies (e.g., homomorphic encryption, federated learning, secure computation) is an advantage. Excellent communication skills
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research groups in quantum encryption, materials, trapped ions, photonics, superconductors, quantum information, quantum-safe cryptography, and more. Employment Type: Full-time Compensation and Benefits