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develop algorithms to identify and predict SRL subprocesses from multimodal learning data (e.g., EEG/fNIRS, eye-tracking, and think-aloud protocols); • Analyze large-scale learning analytics data
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or a related discipline Strong record of research and relevant publications in reputable peer-reviewed international journals A good track record of supervising research staff, postdocs, students, and
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talks, awards, or memberships in professional societies. A good track record of supervising students, research staff, and/or postdocs. Demonstrated capacity to contribute to curriculum development and
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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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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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algorithms. Maintain legacy Laravel/PHP components as needed. Maintain server deployment using XAMPP/Apache. Oversee the migration of the current DigitalOcean-hosted prototype to AWS, including setting up
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international journals Demonstrated the ability to obtain extramural funding A good track record of supervising research staff, postdocs, students, and interns in relevant fields Experienced in cross-disciplinary
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Professor appointment and granted a substantial start-up grant (SUG) to lay the foundation for their research ventures within the university. NTU invites outstanding early-career researchers (postdoc‐toral