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sensors, communicating over networks, to achieve complex functionalities, at both slow and fast timeframes, and at different safety criticalities. Future connectivity of the next generation of multiple
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violations and security risks. Challenges such as managing access rights, maintaining dynamic policy updates, and ensuring proper usage auditing are compounded by the evolving nature of AI technologies and
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views in real time. Yet raw video and point-cloud streams are massive, wireless links are unreliable, and safety demands that information be both timely and trustworthy. IONIAN tackles this bottleneck
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to evaluate. The main research question is how to automatically harmonize the retrieved information allowing a unique analysis and to map them against multiple user-tailored outputs. This is necessary as the
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations
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and interpretation of results Supporting the analysis of multiple mitochondrial ‘omics datasets, such genomics, transcriptomics and clinical data Collaborating regularly with the team members and
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Synthetic Biology is looking for a Doctoral Researcher (F/M/D) with experience in biology, protein biochemistry, and/or microbiology. The project will focus on the development of safety-by-design strategies
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of multiple long-term conditions resulting in increased risk of hospitalisations, polypharmacy and/or mortality using population-scale, linked, electronic health records from the Secure Anonymised Information
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Project descriptionAutonomous systems are intelligent agents—such as robots, vehicles, or drones—that can sense their environment, make decisions, and act independently. When multiple such agents
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This PhD project focuses on strengthening network security for large-scale distributed AI training. As training increasingly spans multiple data centers connected over wide-area networks, it