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. Project Description Dynamic assessment of bone and joint motion remains a major challenge in musculoskeletal imaging. While MRI and CT provide high-resolution anatomical information, they are limited in
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for the position. Do you have any questions? If you have any questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Application process
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questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here
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aim to investigate the paradigm of explainable AI (i.e. XAI), especially with reference to its interesting facet of commonsense knowledge (CSK). As an application area to highlight the importance
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-intensive challenges that require coordinated advances from both data-science and electronics research. Wind turbines, especially prototype units—generate massive volumes of heterogeneous, high-frequency
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power electronics to enhance the reuse and recycling of components, enabling a more circular life cycle. The work will contribute to a new paradigm in the development of power electronics that incorporate
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questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here
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for this PhD project consist of combining empirical studies in healthcare environments, such as observations and interviews, with prototype design and development. The project will develop new knowledge on how
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sustainable machine learning approaches and addressing renewable energy related projects. Likewise, deploying a novel paradigm of KGML (knowledge guided machine learning) can propel further research. PhD
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to apply machine learning techniques to a combination of experimental data and simulation results, aiming for faster and more accurate predictions. About Us You will join an international and highly