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of virtualizing and forecasting the evolution of the radio-electric environment. In the second phase, the candidate will investigate machine learning and AI-driven algorithms for NTN channel prediction, enabling
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. Academic education The first years, you will teach several courses within the field of biochemistry (1st and 2nd Bachelor of Veterinary Medicine). More information about the different courses can be found in
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for a person with a healthy interest in the topic of semiconductor technology, photonics and electronics, and with a sufficiently strong technical background to (learn and) understand the key concepts
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person with a healthy interest in the topic of semiconductor technology, photonics and electronics, and with a sufficiently strong technical background to (learn and) understand the key concepts being
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(3) data-analysis, in the central context of human nutrition and health. You are willing to further acquire knowledge in these fields where needed You have distinguished yourself as a promising
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-scale nature, complexity, and heterogeneity of 6G networks, we use tools such as artificial intelligence/machine learning, quantum computing, graph theory, graph-signal processing, and convex/non-convex
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training or coursework to acquire any competencies that may still be lacking. You have a good knowledge of English, Spanish and French, both oral and written. Your teaching competences are in line with the
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acquire their fate and establish precise connectivity with target brain regions during development, and how these processes are altered by stress and pathology. To address these questions, the team combines
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technologies; you are capable to formulate research projects, to acquire the necessary funding for them, and to execute them successfully; you are capable to build your own research team, and to advise PhD
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working environment, particularly within the MIDI research group. Supervision by your supervisor and co-supervisor. The opportunity to collaborate with other PhD students and learn from the expertise