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environment. We value our diversity in daily work. Our research focuses on implementation of technologies with key applications within energy systems, software development, artificial intelligence, healthcare
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in machine learning and artificial intelligence Experience with numerical analysis and scientific computing Knowledge of power systems and renewable energy technologies Experience in power system
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sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT
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groundbreaking ATHENA project (Artificial Intelligence Towards Holistic Evaluation of Skin Nanotexture Alterations). This international collaborative project aims to develop novel diagnostic tools for various skin
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, games and synthesis, machine learning, logic-oriented artificial intelligence, tool development and implementation, as well as applications of the above to complex systems. Outstanding spoken and written
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and interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life science. At DTU Compute we
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and databases Artificial Intelligence for manufacturing Experience in all of the above topics is not expected Key Responsibilities The successful candidate will conduct high-quality research within
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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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including applied cyber-physical systems, artificial intelligence, embedded computing, mechanical structure integrity and life assessment, heating and cooling, renewable energy systems, and modelling and
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QGG Aarhus University seeks a Tenure Track Assistant Professor in Quantitative Genetics of sustai...
. Our focus areas include quantitative genetics, artificial intelligence applied to agriculture and precision medicine, population genetics, and integrative genomics. QGG is located at the central campus