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for applicants to also have: Honours/Masters degree in either Engineering, Computer Science or IT related fields. Experience in Deep Learning, Computer Vision, and Python programming Interest in
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content. Similarly, computer vision models are implemented to analyse images and videos for symbols, gestures, or contextual clues associated with radical groups or criminal activities. Multimodal
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machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow) Project funding Other Funding
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would be a plus) Experience in statistics/computer vision/machine learning/robotics Outstanding academic output documented via journal/conference publications in the relevant fields Ability to program
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security Experience with medical datasets, medical images, or clinical text Knowledge of explainable AI methods Experience with NLP, computer vision, or multimodal learning Nice to Have Background in digital
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security Experience with medical datasets, medical images, or clinical text Knowledge of explainable AI methods Experience with NLP, computer vision, or multimodal learning Nice to Have Background in digital
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correctness for an AI system in light of the explanations computed. Required knowledge Strong background in computer science in general Familiarity and understanding of basic principles underlying automated
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correctness for an AI system in light of the explanations computed. Required knowledge Strong background in computer science in general Familiarity and understanding of basic principles underlying automated
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Primary supervisor Thanh Thi Nguyen Research area Vision and Language In recent years, the rise in cybercrimes has significantly increased the vulnerability of the open internet to various threats
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Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering , with demonstrated knowledge in machine learning, algorithms, and programming. Prior exposure to reinforcement learning