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Field
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system using deep learning (DL). The project’s objectives include generating training data from synthetic datasets and real-world images (cadaver and actual intraoperative THR images), developing a marker
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toward green steel. To ensure that the steel produced by new processes is viable for industrial applications, it is crucial that these properties can be predicted with high precision. Position description
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characterize new reticular materials (COFs), and use them as precursor for the generation of new polymers via Clip-off chemistry. The candidate will acquire a great experience in supramolecular, reticular and
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, machine learning, and information-theoretic approaches to achieve robust, non-intrusive security for the ever-expanding IoT landscape. Feature Engineering for Encrypted Traffic: It is crucial to identify
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such as scientific summit and student programs aimed to raise scientific excellence. The path to Adelaide University We are on an exciting path to Adelaide University as we prepare to open our doors in
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finance and payments: electronic attestations of attributes certification processes and security measures in digital wallets using privacy-enhancing technologies to ensure end-user privacy while mitigating
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finance and payments: electronic attestations of attributes certification processes and security measures in digital wallets using privacy-enhancing technologies to ensure end-user privacy while mitigating
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finance and payments: electronic attestations of attributes certification processes and security measures in digital wallets using privacy-enhancing technologies to ensure end-user privacy while mitigating
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toward green steel. To ensure that the steel produced by new processes is viable for industrial applications, it is crucial that these properties can be predicted with high precision. Position description
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engineering, and hyperparameter tuning to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record