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700 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading
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applications. As part of the appointment, you are expected to complete the university’s pedagogical training programme for assistant professors. Your competencies We are looking for a colleague with a strong
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continuous and discrete time Developing the Group for Research in Econometrics And Time series including attracting PhD-students, post docs and permanent staff. Teaching in the mathematics-economics programme
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, whoarecommitted to the vision and mission of the Centre (https://www.ucpbl.net/about/). The applicantsshoulddemonstrate research experiencewithin the field of PBL related to one or more of the followingareas in
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. The Department of Mathematical Sciences has three study programs: Mathematics (including a specialization in statistics at the master level), mathematical economics, and mathematics-technology. Teaching undertaken
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at this level and the interest in pursuing publication in these or equivalent journals. Applicants must document pedagogical skills, curricula development experience and educational program management. Emphasis
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***Begin with a brief teaser that paints a picture of what makes this job attractive. Mention which faculty, department and PhD programme the position is at.*** The stipend is open for appointment
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on development of wave energy and offshore wind. Most of our research is focused around work in our wave flume and basin. Further description of the group may be found here: https://vbn.aau.dk/en/organisations
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towards a more sustainable built environment. The announced position is part of this new research program: Civil Engineering and the Green Transition in the Built Environment (CEBE), and the successful
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at the bachelor program Global Business Engineering and/or MSc. program Management Engineering. This includes knowledge on, e.g., various perspectives and theories that inform the financial evaluation