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for routing and access management, can be deployed by generic hardware. As a result of this virtualization, the supplier landscape for (software based) NFs becomes more diverse (lower barrier for entry) and
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. Nowadays AI and Machine Learning techniques achieve impressive detection performance for these sensors, however they are most useful in unobstructed areas (e.g. highway) within direct line-of-sight, and
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innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in
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Graduate School which provides a Doctoral Education Programme aimed at developing transferable, discipline-related and research skills. There is a strong emphasis to drive the project in the direction
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to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social
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of trips and loads. The scope of your PhD extends to crucial operational aspects such as port call scheduling and queue management, optimizing logistics chain performance in terms of trips and capacity, and
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does it mean to organise the ecosystem of businesses and organisations that are developing quantum technology such that this technology realises the public good? Innovation ecosystems tend to have
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into account adequately in models. Therefore, we will work with traditional parameterizations for cloud microphysics, but also explore how physics-enhanced machine learning can help us to develop new ways
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physical elements, operated and controlled via management systems and procedures. These management systems and procedures are becoming increasingly automated. Moreover, critical infrastructures become
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In a world increasingly driven by data, healthcare facilities are undergoing profound changes, embracing new technologies to reinvent how they deliver acute care and interact with other healthcare