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of coronary artery disease and supporting clinical decision-making during catheterization procedures. The project brings together cardiovascular imaging, generative AI, and computational modeling to develop
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and simulation techniques are necessary to develop Urban Digital Twins able to manage this complexity and produce reliable predictions. The candidate will be requested to contribute to this research
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of the proposed PhD are: (i) To investigate novel neural scene representation methods and their complementary with respect to conventional geometric methods (ii) To develop methods to decompose raw 3D scenes
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Operational Technology Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in
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developed separately -In this interdisciplinary thesis, the aim is to develop a programmable material-machine capable of deforming into a target geometry (when subjected to internal negative pressure). We
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of information remain critical to standardize and store in DPPs when AI‑assisted instruction generation is introduced.By connecting AI, AR/VR technologies, and DPP frameworks, this project will advance the state
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, or according to agreement. As a PhD student you will be enrolled in a highly qualified education within a thriving research environment. You will also have many opportunities to enhance your teaching skills and
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of Advanced Computer Science (LIACS). As a team, we develop cutting-edge techniques for advanced computational imaging systems, combining expertise from Mathematics (Inverse Problems), Computer Science (Machine
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, a university (Monash University for this project) and CSIRO to co-develop a four-year industry-focussed PhD project. You will receive a four-year scholarship package of $48,071 annually (2026 rate) if
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academic environment for research and education in geoscience. It offers a broad range of expertise that can contribute to solving important societal issues. Earth is a dynamic and constantly changing planet