112 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at Aalborg University in Denmark
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. We expect applicants to hold a PhD in a relevant field such as techno-anthropology, science and technology studies, human-computer interaction, human-robot interaction, digital health, anthropology
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% of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique
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advance leadership and management accounting research (e.g performance management, business partnering, digitalization, action learning, etc) within the Accounting Research Group at Aalborg University
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properties through computer simulations. The project also includes validation of materials in the lab and translating the findings into practical recommendations for use in real power-electronics environments
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support students in their learning and project work. You either have documented teaching experience or can demonstrate a clear interest in developing your teaching competences. Over time, you are willing
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., both in English and in Danish. Knowledge of Danish or another Scandinavian language is therefore an advantage. Alternatively, the candidate should be willing to learn Danish within the first two years
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within energy engineering, thermal engineering, mechanical engineering, electrical energy systems, or a closely related field. The candidate should be prepared to teach in Danish in the future, as bachelor
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innovation, knowledge sharing, and professional development. Learn more about AAU Energy at www.energy.aau.dk. How to apply Your application must include the following: Application, stating reasons
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are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication
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design and laboratory experimentation, you will first explore a broad range of sodium-oxide glass compositions using advanced computer models to predict how well ions can move through them. Based