75 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Aalborg University in Denmark
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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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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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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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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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to combineremotesensing data with Earth system models for multi-source analysis Has a strongbackground in Artificial Intelligence, includingmachine learning, deep learning, or hybrid modelingapproaches Has a research
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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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Learning, where student research projects are a central part of each semester. For more information see www.en.bio.aau.dk. The candidate can expect an external stay at another university in Europe during
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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