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master's students in areas related to your expertise. Your competencies We expect you to have: A relevant master's degree in energy engineering, electrical engineering, mechanical engineering, chemical
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learning, computing, data science, biomedical engineering, or a related field at the level of a master degree Programming skills (Python) and experience with common machine learning platforms Experience with
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, starting at around 4800 Euro (incl. pension) for candidates with a master's degree. Universal health insurance as a resident of Denmark, including family members officially residing in Denmark.
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/augmented/extended (VR/AR/XR) environments to support learning of scientific concepts and practices at the university-level. The main aim of this work package is to investigate how such cutting-edge
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related field at the level of a master degree Programming skills (Python) and experience with common machine learning platforms Experience with deep learning, computer vision, medical image analysis
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results through scientific publications, conferences, and project activities. The position may also include a limited amount of teaching and supervision of bachelor's and master's students in areas related
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. Principal supervisor is associate professor of research integrity Mads P. Goddiksen, [email protected]. Qualifications needed for the programme To be eligible for the PhD programme, you must have completed a
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. Associate Professor Mante Vertelyte (principal supervisor) and Professor Mette Buchardt (co-supervisor) will supervise the PhD project. The successful applicant will become part of an international research
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the ambition of producing contributions relevant to leading venues in both the communications and AI communities. Your competencies We are looking for a candidate with a Master's degree in electrical engineering
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methods on large-scale microdata sets, in particular the comprehensive Danish micro-data, but other sources like lab and field experiments or other types of primary data like own surveys and secondary data