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. The group’s research focuses on data mining - particularly clustering and representation learning - graph mining, and probabilistic machine learning. We place great emphasis on a relaxed, collaborative
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three coupled components. First, a physics-informed graph surrogate model will emulate network hydraulics at scale, representing pipes and assets as a graph and predicting flows, depths, surcharge
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focuses on data mining - particularly clustering and representation learning - graph mining, and probabilistic machine learning. We place great emphasis on a relaxed, collaborative environment and a
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good results - Interest on topics around the area of distributed systems and data management - Basic knowledge in distributed systems and graph algorithms is desired - Hand-on experience with large-scale
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ICT Services & Applications. Your role The SnT Automation & Robotics Research Group seeks to hire an excellent and motivated PhD candidate within the national research project PCS-GRAPHS (Integrating
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through strategies such as reinforcement learning (RL) and innovative frameworks like the "graph of thoughts". We are firmly in the "Age of Computation", where breakthroughs in AI are synonymous with
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agencies, and limited use of intelligent decision-support systems—by integrating knowledge graphs, explainable AI (XAI), real-time alerting, LLM-based interaction, and cybersecurity/privacy mechanisms. Key
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animations, digital and print elements, select video projects and photography to meet the commercial and promotional production needs of KOMU 8. Collaborate with student journalists on graphs, charts, diagrams
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(FTE): 1 FTE; 100% Regular/Temporary: Regular About the Job: U-Spatial is seeking a Geospatial Data Engineer / Research Data Analyst to design and implement a sustainable, graph-based data infrastructure
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/RTX ) system: Implement statistical and machine learning techniques to augment graph edge properties in ARAX; Create modular python wrappers to interface with NCATS (National Center for Advancing