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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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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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, brain analysis, 3D movement analysis, respiratory and circulatory examinations, sensory and motor functions analysis, etc. All study programs at Aalborg University involve problem-based learning
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, candidates must demonstrate a willingness to learn. On a personal level, we value openness, a collaborative mindset, and a proactive approach to scientific challenges. Candidates should be comfortable sharing
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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 for applying, qualifications
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learning model. Read more here . Qualification requirements Appointment as assistant professor requires academic qualifications at PhD level. The research potential of each applicant will be emphasized in
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competencies The ideal applicant profile should demonstrate expertise in one or more of the following areas: optimization algorithms (heuristics, metaheuristics, exact methods), learning-based approaches
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networks and pedagogical upgrading. As tenure track assistant professor your primary tasks will be research and research-based teaching. You will teach and supervise students at bachelor’s and master’s level
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of each applicant will be emphasized in the overall assessment. Your work tasks As assistant professor of computer science your primary tasks will be research and research-based teaching. You will teach and
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to an international research agenda. The ideal candidateshoulddemonstrate the ability to navigate research across diverse legal contexts in Europe and beyond. Teaching at AAU emphasizes Problem-Based Learning (PBL