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communicate complex technical concepts clearly and contribute to the development and review of technical training materials Ability to work effectively in collaborative, interdisciplinary and international
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infrastructures. You will contribute to research projects enabling secure, interoperable, and scalable use of clinical data for AI and machine learning applications in complex diseases such as Cancer, Alzheimer's
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in complex operation environments Working with rapid prototyping tools (dSPACE) to recreate charging profiles and communication protocols of electrical vehicles Working with IoT, meters, controllers
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of future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, we use tools such as artificial intelligence/machine learning, quantum computing