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direct medical advice, or developing a clinical product for hospital deployment during the PhD. The project is not limited to ordinary machine-learning evaluation where models are tested only on clean
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Intelligence (AI) and Machine Learning (ML) to colorectal cancer research. Research Aim This PhD research aims to develop and evaluate explainable AI and machine-learning approaches for early detection
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Intelligence (AI) and Machine Learning (ML) to colorectal cancer research. Research Aim This PhD research aims to develop and evaluate explainable AI and machine-learning approaches for early detection
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Primary supervisor Levin Kuhlmann Research area Machine Learning What makes a machine conscious? This PhD would be at the intersection of Philosophy, AI and neuroscience. You would study the latest
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Primary supervisor Levin Kuhlmann Research area Machine Learning What makes a machine conscious? This PhD would be at the intersection of Philosophy, AI and neuroscience. You would study the latest
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electronic health records, clinical measurements and longitudinal patient data provides opportunities for advanced Machine Learning (ML) approaches. Research Aim This PhD research aims to develop
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electronic health records, clinical measurements and longitudinal patient data provides opportunities for advanced Machine Learning (ML) approaches. Research Aim This PhD research aims to develop
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One or more PhD Positions in Unsupervised Learning for Medical Image Analysis Apply Vacant position One or more PhD Positions in Unsupervised Learning for Medical Image Analysis Aalborg Deadline
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, but their long-term stability remains a key challenge for large-scale deployment. In this PhD project, you will use density functional theory and state-of-the-art machine-learning interatomic potentials
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quantum attacks Verifiable and privacy-preserving machine learning (e.g. proving model integrity or fairness without revealing training data) Scalable ZK-proof constructions for federated and