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and SUND faculties, working closely with course teams from Medialogy and Clinical Science & Technology, as well as a dedicated pedagogical postdoc. The stipend is open for appointment from 1 August 2026
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fundamental AI methods together with their software implementations for interpretable statistical fault prediction and lifetime assessment in the context of Structural Health Monitoring of operating wind
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to NLP, KGs, and Digital Cultural Heritage research. Stipend 1: Applicants for the position in the Department of Computer Science must have: • A relevant MSc degree (e.g., Computer Science, Software
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Ariya Sangwongwanich from AAU Energy. The prospective Ph.D. student will be co-supervised by Associate Professor Hongbo Zhao (AAU Energy) and collaborate with other Ph.D. students and Postdocs in the host
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M. Smedskjær. The prospective Ph.D. student will be co-supervised by Tenure Track Assistant Professor Søren S. Sørensen and collaborate with other Ph.D. students and Postdocs in the research group
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into applications in close collaboration with industrial partners worldwide. You can read more about the department at www.es.aau.dk. Your work tasks Modern wind turbine testing and verification face a series of data
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of student projects and participation in courses related to human-computer interaction and software engineering. Your competencies Applicants should have a strong interest in human-robot interaction and the
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, software, and High Performance Computation (HPC) infrastructure; • Excellent scientific infrastructure; • Participation in project meetings and international conferences; • Flexible working hours
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project is in close collaboration with the Head of Software - Technology and Innovation at EBU. You will have an extended and paid stay in Geneva with the EBU. As part of RePIM you will participate in
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Python and/or Matlab. Experience with software-defined communication systems, emulation tools, and machine learning techniques is considered an advantage. Most importantly, you are eager to learn and apply