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Field
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each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and behavioral modeling methodologies. In FlexMobility we propose a holistic approach to design
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supervised by experts in combinatorial optimization, machine learning and fairness-awareness in algorithmic decision support, and the Eurotransplant headquarters in Leiden, where access to the domain expertise
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fundamental methods research to guide in these analytical challenges. In this PhD-project, you will propose and evaluate new AI methodology to ensure that organoid data can be used to optimally predict relevant
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support each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and behavioral modeling methodologies. In the FlexMobility project we propose a holistic
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examine hypotheses in a truly physiological context. In this project, you will contribute to both engineering and neurobiology. First, you will help build a light-sheet microscope optimized for voltage
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for residential energy management systems and energy hubs, with particular emphasis on distributed optimization, cyber-security, and quantum computing for real-time decision-making. Ultimately, the goal is to equip
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increasing the attractiveness to the users, we need innovative designs where fixed and flexible services support each other. This necessitates a multidisciplinary approach bringing together optimization
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polar codes and LDPC codes. Several outbranching research directions are possible, such as: integration of new decoders with pre- and post-processing techniques for fuzzy sources, optimization of decoder
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of Internet infrastructure by developing autonomous systems that can self-organize, self-optimize, and self-heal across heterogeneous environments. You will tackle fundamental challenges at the intersection
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the attractiveness to the users, we need innovative designs where fixed and flexible services support each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and