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X-ray imaging, with collaboration in restorative dentistry/prosthodontics and experimental mechanics. More about the position Project title: Wear and Fracture Testing Models for Dental Crowns: From
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of algorithms for medical image analysis. The successful candidate will investigate computational complexity, stability, and numerical summaries of multiparameter persistence, as well as applications to medical
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applications to medical data. The project will combine theoretical work on multiparameter persistence with the design and implementation of algorithms for medical image analysis. The successful candidate will
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will be further developed by the successful candidate in collaboration with the supervisory team. Main tasks The successful candidate will: develop and evaluate image-classification workflows
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of maturity, this technology requires to experiment a change of paradigm to guarantee a sustainable development for the years to come. One pathway to achieve this paradigm shift relies on the development
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-based techniques into an existing heterogeneous computing paradigm, and evaluate their solution e.g. on the automated guided vehicles at a partner institution. Their secondary objective will be to develop
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31, 2026. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. The position is placed in the Digital Signal Processing and Image Analysis group (DSB
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achieve outstanding performances in recognizing objects in an image, inferring their relationships, and generating image descriptions in natural languages. They're ideal for tasks like image captioning
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capacity, energy prices). In this new paradigm therefore, multiple autonomous agents including households, aggregators, and grid operators-must make real-time, interdependent decisions under shared
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own objective (e.g, cost, profit, comfort, sustainability, etc.) and interacts with other agents for shared resources (e.g., grid capacity, energy prices). In this new paradigm therefore, multiple