36 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" uni jobs at Aalborg University in Denmark
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internationally oriented research environment, combining high-quality research, Problem-Based Learning (PBL)-based teaching, and engagement with industry and society. Your work tasks The IB Research Group seeks a
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research in Time Series Analysis and Econometrics with focus on one or more of the following key research areas: Nonparametric estimation. Machine learning methods in econometrics and time series analysis
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education in creating conditions for engagement, learning, and mental health. The role of psychology in policy and governance, including how psychological knowledge and practice inform and are shaped by
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to sustainability assessment, as well as capacity building in LCA, and strengthen the group’s role in national and international networks. Teach courses related to LCA and environmental assessment using Aalborg
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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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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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-based learn-ing is also an advantage. As a person, you are dedicated and possess advanced communication skills. You can build relationships based on trust with students, colleagues and partners. As a
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demonstrate strong analytical thinking and the ability to approach complex problems systematically. You will be working in a highly interdisciplinary environment, so openness to learning from different research