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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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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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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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Cosmological Paradigm” funded by an Inge Lehmann grant from the Independent Research Fund Denmark. Qualifications Applicants should have a master’s degree in physics or related topic or expect to obtain one
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development of the multimodal neuromonitoring system. Tasks will include: Integrating a discrete impedance measurement prototype into an existing in-ear earpiece equipped with an EEG sensor. Conducting clinical