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research by: 🐟 Developing a smad3 knockout zebrafish model, 🔬 Optimizing in vivo visualization of aortic enlargement and molecular dysfunction, 💊 Developing a pathogenic signalling-based drug screening
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intelligence (e.g., reinforcement learning for scheduling, congestion control, link adaptation, and cross-layer optimization). The exact research direction will be refined based on the candidate’s background and
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mechanisms for distributed learning, real-time analytics, and AI-driven decision-making across heterogeneous environments (edge-cloud), contributing to the realization of intelligent and self-optimizing 6G
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, congestion control, link adaptation, and cross-layer optimization). The exact research direction will be refined based on the candidate’s background and interests. You will publish scientific articles related
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environments (edge-cloud), contributing to the realization of intelligent and self-optimizing 6G ecosystems. The research may include: distributed and federated learning across edge-cloud continuum, AI-driven