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head-on. We will reinvent generative cooperative vision and semantic compression methods so fleets of intelligent machines can perceive the world robustly, efficiently, and in a trustworthy manner—even
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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
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students and senior researchers from multiple disciplines to tackle challenges in sustainable aluminium through AI-driven microstructural analysis. The NEST-WISE project offers a vibrant collaborative
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across infrastructure networks, studying how infrastructure administrators handle uncertainty and complexity across multiple organisational levels when managing their infrastructure assets. The candidate
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for the purpose of engaging a broader range of actors in critical reflection on future scenarios embedded in their local context. Your research methodology will be developed in the context of multiple research
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, stakeholder alignment, and innovative business models that promote multi-value creation. You will investigate how long-term visions and transition paths can be shaped with partners, how startups and SMEs can be
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format. This will allow combinations of neural networks with physics models. The project brings together PhD students and senior researchers from multiple disciplines to tackle challenges in sustainable
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health and how these factors work. In this PhD project, you will explore how Google Street View imagery, 3D urban mapping, and Vision Transformer (ViT) AI models can be used to enrich Exposome Maps with
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project brings together PhD students and senior researchers from multiple disciplines to tackle challenges in sustainable aluminium. The aim of RAM3 project is to enable the broad application of recycled
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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