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assistant in the field of resilient wireless networks The selected candidate will be part of the IDLab research group, which performs basic and applied research on Internet technologies and distributed
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for Biomarker Discovery: Develop and fine-tune machine learning algorithms for biomarker discovery, cancer classification, and exploring omics features. Collaborative Research: Work in a multidisciplinary setting
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, which performs basic and applied research on Internet technologies and distributed intelligence. IDLab possesses a unique research infrastructure, encompassing a wireless network testbed in the city and
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generative AI algorithms and translate them into intuitive explanations. Interest in cyber-physical systems (CPS) and eco-cognition modeling. Good understanding of mathematical optimization techniques
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or PyTorch. Interest in explainable AI and contributing to explainability repositories for trustworthy, auditable algorithms. Experience or interest in cyber-physical systems (CPS), eco-cognition, and
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plays a critical role in topology selection and heteroatom distribution by influencing the reaction network early in the formation process. However, the complexity and timescale of that process is beyond