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research network called NiteLiDAR. We want to use the results of this research, together with our partners, to create innovative demonstrators for the next generation of LiDARs. In the second step you will
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communication. Join us and apply for one of the two available PhD positions below! Quantum Network Systems The goal of this position is to optimize the design of our quantum network operating system
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). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing provably powerful learning models for graphs will
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on Graphs: Symmetry Meets Structure (LOGSMS). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing
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Vacancies 2x PhD positions in the Mathematical Foundations of Machine Learning on Graphs and Networks Key takeaways The Discrete Mathematics and Mathematical Programming (DMMP) group
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disconnectivity in brain networks relates to symptom networks and recovery trajectories in psychiatric patients. Apply and further develop methods from network science, machine learning, and computational
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the LipidBRIGHT doctoral network, you will pursue a PhD in Nutritional Immunology, bridging pharmaceutical and nutritional sciences. You will use in vitro human mucosal immune models to study barrier
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Description Challenge: Uncovering the interdependency between telecommunications networks and urban infrastructures Change: Developing data analysis and modelling methods to understand the interdependency
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this PhD position, you will study how citizen collectives can mobilise broad groups of citizens to contribute to sustainability transitions. You explore how these collectives and their networks reach
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Is the Job related to staff position within a Research Infrastructure? No Offer Description MS-RADAM (“MultiScale phenomena in RAdiation DAMage”) is a European Doctoral Network project funded by