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candidates will be part of the section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP), an active, dynamic research group that combines bold research and a collaborative spirit. The
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advanced finite element models and simulation techniques. This is enabled by digital and sensor technologies such as artificial intelligence, computer vision, drones, and robotics, which are utilized
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-based solutions to societal challenges. We have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), the Internet of Things (IoT
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within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer
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information The postdoc will be hired at DTU Compute which harbors a strong international machine learning and artificial intelligence environment. In addition, the PI is an ELLIS member. Further information
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Empirical Software Engineering (EMSE). This position is funded by Innovation Fund Denmark Grand Solutions project “AI4SE1DK – Human-Centered Adoption of Artificial Intelligence for Software Engineering in
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics