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an ARC Linkage Project focused on developing an autonomous system for detecting and quantifying structural damage in infrastructures (e.g., bridges, grain silos) using computer vision, digital twins, and
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. Your job You will join a research group in algebraic geometry, working on a project focusing on noncommutative algebraic geometry. This project aims to find novel constructions of noncommutative surfaces
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gestural interaction for music. Proposals should outline a research project that uses time-series classification to support the detection of musical gestures and interactions with different materials and
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questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information We recommend that you save a copy of the job posting, as
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to broaden your expertise. Contribute to teaching activities (up to 10% of your time). Contract terms and what we offer The PhD position is fully funded from start As a PhD student at Chalmers, you are
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Danish bachelor´s degree. Here you can find out, if that is relevant for you: General assessments for specific countries and Assessment database . Terms of the integrated programme To be eligible
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, partially paid parental leave and flexible terms of employment based on the CAO NU. In addition to the terms of employment external link laid down in the CAO NU, Utrecht University has a number of schemes and
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investigations and the data interface for treatment planning Continuous literature research on the sensory detection of plant damage symptoms with a focus on insect pests Writing reports and participating in
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. The areas of responsibility include: Develop computer vision and AI models for detecting wind turbine blade damage and predicting its progression, with experimental validation carried out at DTU test
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disciplines. A proactive approach to problem-solving and a commitment to advancing healthcare through research. Fluency in English, both written and spoken. Terms and conditions The terms of employment are in