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emerged to make meshing more flexible by allowing elements to span across multiple CAD faces without explicitly modifying the geometry. However, these ideas have not yet been developed in high-order
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–based methods and software to assist physicians with: Disease classification Treatment decision support What-if analyses. Although the developed methods and software will be general-purpose, a special
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allowing elements to span across multiple CAD faces without explicitly modifying the geometry. However, these ideas have not yet been developed in high-order settings, where curved elements, geometric
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Delft about the new insights we gather. We will focus on open science, sharing our results to help developers across the world. Predictive Software Testing This track focuses on creating an intelligent
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aimed at developing novel Artificial Intelligence–based methods and software to assist physicians with: Disease classification Treatment decision support What-if analyses. Although the developed methods
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-Class Environment: Access to a leading research environment specializing in hardware/software for medical wearables, translational endocrinology, and machine learning for medical time-series. Cutting-Edge
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, Germany. We Offer You: A World-Class Environment: Access to a leading research environment specializing in hardware/software for medical wearables, translational endocrinology, and machine learning
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-windcatcher-tech/ , https://www.windcatching.com/ ). Multi-rotor (MR) wind turbines house multiple rotors on a single support platform, which is believed to provide a wide range of techno-economic benefits
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consequence of the disease. Model results will be validated with experimental test data. This project will harness new software capabilities to better understand bone mechanics, providing insight into the cause
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vulnerabilities and software testing practices Proven research record with publications in relevant venues (AI, security, and software engineering conferences/journals) Strong analytical and problem-solving