71 machine-learning-"https:"-"https:"-"https:"-"https:" positions at Aalborg University in Denmark
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languages such as MATLAB or Python is necessary as well as excellent communication skills in English. Candidates with sufficient proficiency in Danish to teach at the Bachelor programme are preferred
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required. As assistant professor you are responsible of the laboratory safety including medium voltage setup and must be able to instruct other people. The work requires ability to have novel ideas
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ecology, biology, microbiology, bioinformatics, or a closely related field is an advantage. Excellent oral and written English language skills are a requirement. Previous experience in computer programming
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, teaching activities will involve supervision of student projects with focus on problem-based learning (PBL). Your competencies We are seeking a person with qualifications within the relevant fields who can
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advanced laboratory and workshop facilities, and a collaborative environment that supports innovation, knowledge sharing, and professional development. Learn more about AAU Energy at www.energy.aau.dk . How
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working with medium and low voltage high power power modules power converters and power magnetics interfacing to ac sources as electric machines and other power converters. It is also critical relevant you
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responsibility across networking, asset integration, and spatial audio design. In addition to technical development, you will contribute to ongoing research on how XR technologies can support learning
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Planning (in Danish), but also in otherstudy programmes at the University, including support to the introduction to Problem-Based Learning for firstyear bachelors (in Danish). Youmayobtainfurther
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). Additionally, responsibilitiesincludesupportingotherstudy programmes at the university, such as assisting with the introduction to Problem-Based Learning for first-year bachelor students (in Danish
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are international. 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 research infrastructure and lab