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, developing groundbreaking algorithms and systems that mimic natural processes to elevate the capabilities of robotic systems. In this role, you will engage in transformative projects that utilize bio-inspired
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surfaces (RIS) and associated signal processing for terahertz communication links. The project aims to develop advanced RIS, corresponding channel models, and efficient signal processing algorithms
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sustainable manner. Key Responsibilities: Responsible for developing explainable machine learning algorithms for TBM risk identification Developing practical tools to optimize TBM operation parameters Writing
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of the designed algorithms and systems. Help with research presentation works such as high-quality paper writing. Job Requirements: Preferably bachelor's degree in Computer Engineering, Computer
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software modules, protocols, or frameworks that use NIST-standardized PQC algorithms Evaluate performance, interoperability, and security implications of replacing classical cryptographic schemes with
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software modules, protocols, or frameworks that use NIST-standardized PQC algorithms Evaluate performance, interoperability, and security implications of replacing classical cryptographic schemes with
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models using frameworks such as PyTorch and TensorFlow. Research experience in medical image analysis using deep learning algorithms. Strong track record in machine learning, computer vision, and medical
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international work environment Learn more about CQT at https://www.cqt.sg/ Job Description The candidate will be working on a telescope that is used to distribute entangled photons between buildings
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architectures to identify upgrade paths for quantum-safe migration Design, implement, and test software modules, protocols, or frameworks that use NIST-standardized PQC algorithms Evaluate performance
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efficient algorithms with provable statistical guarantees, using tools from: high-dimensional statistics, optimization, probability theory, etc. These positions would be especially relevant for those with a