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: Collaborative Localization and Sensor Integration This PhD position will focus on developing and integrating methods for collaborative localization and sensor fusion in the ABBA USV system. The goal is to enable
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. The candidate will also carry out 3-month internship at the European Broadcasting Union (EBU) in Geneva. Your competencies You have a strong profile within computer science, computer engineering or similar, and
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At the Technical Faculty of IT and Design, Departmentof Computer Science, one PhD stipend intheories for programming semantics, methods for verification and reliability assurance of combined
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have a strong profile within computer science, computer engineering or similar, and have an interest in media deliver infrastructure, including Edge and Cloud computing We expect: A Master’s degree in
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robotic control strategies that ensure precise, safe, and patient-friendly probe positioning. The candidate will be responsible for developing artificial intelligence methods for cardiac view identification
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Business Economics at Aarhus University. ACE is a research center focusing on the development of econometric theory and methodology; specifically, methods that are robust to nonconformity with classical
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leading universities and non-academic partners will train 14 doctoral candidates in cutting-edge methods, theory, and transferable skills. More information may be found on the ENERPOL website: https
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for developing artificial intelligence methods for cardiac view identification and pose estimation from ultrasound video, as well as designing a closed-loop robotic system for autonomous ultrasound scanning and