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societal challenges that threaten us today, climate change without doubt being the most important. Our focal subjects: sustainable aerospace, big data and artificial intelligence, bio-inspired engineering
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-driven and use-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves
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are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
, to conduct research in a project on “An ecological evolutionary approach to curriculum development and teacher learning for artificial intelligence literacy”. He/She will take a key role in all stages
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Engineering or relevant field; Strong computer programming skills (e.g., C/C++/Java/Python, Matlab) are a must; Strong background in Data Analysis, Computational and/or Artificial Intelligence; Usage of Machine
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, potentially in combination with artificial intelligence and high-performance computing (HPC) technologies. In particular, you will apply (hybrid) quantum computing solutions to EO use cases for which current
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assigned. Required Education/Experience PhD in Chemical Engineering, Materials Science and Engineering, Computer Science, or a related field Preferred Education/Experience Research experience with artificial
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contribute to patents or technical innovations. Qualifications: PhD in Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, or a related field. Strong experience in developing and
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Artificial Intelligence (AI), particularly in the development and application of Large Language Models (LLMs), to join our team working on predictive maintenance solutions. The ideal candidate will have
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familiarity in machine learning (ML) and artificial intelligence (AI). This role is pivotal in evaluating the economic competitiveness of the U.S. in the production and manufacturing of energy-related materials