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theoretical background for MIMO related research, and have attended courses such as Information Theory, Signal and Systems, Modulation and Detection. Experience with OFDM or single carrier baseband algorithms
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development of (open source) tools and algorithms for numerical simulations; o supervise PhD students conducting research in the field of this vacancy; o take responsibility for project coordination
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networks, etc. In this PhD position, you will build on our expertise in reinforcement learning for flexibility exploitation, and design of AI-based energy management algorithms to coordinate individual and
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fluid-structure interaction (FSI); - Development of techniques for deforming fluid domains, including Chimera techniques. The doctoral research needs to realize algorithmic improvements in the topics
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related field. The ideal candidate should have knowledge and/or experience in one or several of the following areas: Artificial Intelligence/Machine Learning algorithms and architectures Cybersecurity
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with custom or commercial electronics, optics, mechanics, fluidics, and both embedded and application-specific software and algorithms. Our goal is to validate these systems in real-world environments
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at the KU Leuven, within the Biomed lab (https://biomed-kuleuven.web.app/research ) to develop new trustworthy AI algorithms for fracture detection based on novel photon counting CT technology. Particularly
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engineering or mathematical engineering Good understanding of statistics and machine/deep learning algorithms Interest in Biomedical data science Excellent programming skills in Python Proficient English, both
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medicine. This vacancy focuses on the algorithmic aspects of these techniques. We are seeking to recruit a strong researcher with a background in computer science. The ideal candidate can provide computer
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extension to four years, will focus on leveraging the next generation of evolutionary algorithms to evolve efficient, robust, and interpretable predictors and data processing algorithms. A crucial aspect will