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skills and ability to handle multiple tasks. - Effective oral and written communication skills (English). - Ability to work both independently and as part of a technical team. - Basic computer skills and
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and code. Competences and Skills: • Experience in MLOps, cloud/edge computing, software architectures, data engineering/ML tooling, and reinforcement learning. • Good collaboration capabilities
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to the PhD Secretariat, Faculty of Health Sciences, to be enrolled as PhD students. The PhD programme will be carried out in accordance with Faculty regulations and the Danish Ministerial Order on the PhD
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in teams of scientists and support staff with competences spanning a wide range of fields including applied cyber-physical systems, artificial intelligence, embedded computing, mechanical structure
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range of fields including applied cyber-physical systems, artificial intelligence, embedded computing, mechanical structure integrity and life assessment, heating and cooling, renewable energy systems
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computational resources at the University of Southern Denmark (SDU). This project offers an excellent opportunity to contribute to cutting-edge AI-based Digital Twin modeling research within an interdisciplinary
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the applicant’s educational background and previous research experience most relevant to the offered position and the reason for applying to the PhD program. Curriculum Vitae. Master’s and bachelor’s
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) within robotics, computer science, data science, or related fields. The candidates are expected to have a profound knowledge on the majority of the following topics: Machine learning (deep neural networks
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considered for the position. Further information about the courses is available in the respective course description via the programme website. Academic related questions should be addressed to the course
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, Computers in Industry, Technological Forecasting & Social Change, Journal of Technology Transfer, etc. The SDU TEI section is a highly international and interdisciplinary group of faculty members, with