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Field
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values and who will support the mission of the university through their work. Qualifications: PhD in Mechanical Engineering, Chemical Engineering, Materials Science, Electrical Engineering, Chemistry or
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obtained from Dr. Mikkel Heuck, mheu@dtu.dk . You can read more about career paths at DTU here and the Department of Electrical and Photonics Engineering here . If you apply from abroad, you may find
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Foundations of Artificial Intelligence Applications should hold a PhD in Computer Science, Electrical and Computer Engineering, Applied Mathematics, or related disciplines and must demonstrate research
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Electrical Engineering, Computer Science, or a related field Strong background in speech processing, signal processing or machine learning Proficiency in Python and deep learning frameworks Experience with far
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of charge. High standards for working hours, holidays, place of work, health, and safety. Access to specific training activities exclusively provided within the framework of the LEAD AI programme. *) Subject
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applications. Minimum Qualifications PhD. in Electrical Engineering, Electrical and Computer Engineering, Computer Science, Mechanical Engineering, Communication Engineering, Applied Math, or a closely related
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are accepted). References. Contact information for references from the PhD programme or previous employment are encouraged. The application and appendices with certified translations into English must be
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in Computer Science, Geographic Information Science, Data Engineering, or a related technical field. Job
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Engineering, Computer Science, Applied Mathematics, or related fields Strong background in control systems, machine learning, and scientific computing Programming proficiency and experience with simulation
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for this position, the following is required: PhD in systems engineering, computer science or informatics, and the subject of the thesis should be relevant to the task description provided above (e.g. digital twin