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, entrepreneurship, and work-life balance. Be part of a university that values innovation, societal impact, and diversity. In this position you will develop and lead a research program focused on applying quantitative
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range of fields including applied cyber-physical systems, artificial intelligence, embedded computing, mechanical structure integrity and life assessment, heating and cooling, renewable energy systems
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machine learning, computational modelling, and advanced data analytics can accelerate not only the discovery, characterization, and optimization of materials but also project assessment and communication
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background within (at least one, preferably several of) the following fields: Biomedical circuits and systems Physiological Modelling Medical sensor and instrumentation technology Health Informatics Digital
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programs, and 4) dissemination with high visibility and broad societal impact. The applicant is expected to contribute to the teaching program at the Department in the Bachelor and Master’s programs in
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engineering, operations research, computer science, economics, or a related field. You must have demonstrated track record with publications in recognised and leading journals based on experience in developing
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synchrotron set-ups and our own national facility, E-MAT. We also have many colleagues that are very strong in AI and computational modelling of battery materials, and we are building labs for autonomous
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programme management as well as contributions to the development of teaching activities and teaching material. Emphasis is placed on the extent, to which the applicant, has developed the academic discipline
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candidates with expertise in one or more of the following specialized areas: Machine Learning / Deep Learning Uncertainty Quantification Wind Farm Flow Modelling Wind Farm Control Wind Farm Design Wind Farm
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, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within