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converging operational research, machine learning, and decision-making methodologies. The ultimate goal is to create real-time autonomous systems that are not only trustworthy but also adaptive in the face of
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transformers, Machine Learning, Power systems. Expertise with the following engineering tools and programming languages can be an advantage but not limited to: MATLAB, PLECS, PSCAD, others
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similar and have substantial experience with machine learning. Experience with generative AI for image is a large advantage, and computer vision experience is a plus. Furthermore, as AI:Xpertise is about
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activities of the IKE research group, but will, as part of the GreenTraC-project, also join a cross-organisational and interdisciplinary team working on developing and implementing machine learning and natural
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, operando characterization, and scalable materials synthesis, as well as autonomous robotics, digital twins, and machine learning, CAPeX will reinvent the ways we invent new sustainable materials for Power
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, to various qualitative methods; also emphasizing the interplay between qualitative and quantitative methods and data. There is a growing focus on novel computational methods such as NLP, machine learning, and
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of the PostDoc project is to performreal-world testing of the shoulder device in healthy individuals and patients with upper limb movement disorders, as well as to develop the machine learning
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to the development of new teaching activities. To contribute to the funding with the help of external research funding. Supervision of PhD students and contributing to the development of the faculty's PhD courses
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-invasive measurements of neural activity(EEG) and/or psychophysical assessment. Advanced signal analysis, including e.g. machine learning techniques, should be used for the assessment and evaluation