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prediction algorithm and molecular dynamics simulations. For more details, please view https://www.huilingshaogroup.com/. We are looking for a Postdoctoral Research Fellow to design and execute independent and
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, modulation classification, sensing, and adaptive spectrum optimization in diverse operational environments. Your work will focus on modeling and algorithmic aspects related to the development of highly
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statistics, AI, and computation to generate biological and medical insight. The group focuses on the development of novel algorithms, tools, and databases that are open source and freely available to all users
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cardiovascular diseases. More specifically, the role involves developing and utilizing computational tools and systems to analyze and interpret biological or other research data. Utilizes and develops algorithms
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-native wireless communications and networking, specifically developing context-aware multimodal Generative AI (GenAI) models, scalable mixture-of-experts (MoE) at the network edge, and multi-agent
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dynamic systems, control engineering, and applied mathematics? Do you want to develop cutting-edge control algorithms for the security and resilience of cyber-physical systems? We welcome you to apply for a
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meetings in Durham, NC. Be Bold. What You’ll Do Design, develop, and maintain features for the Duke Academy learning platform using Python and FastAPI. Build and optimize personalized learning algorithms
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develop throughput-optimal entanglement distribution algorithms (both centralized and decentralized algorithms) for quantum networks with resource constraints. The project is funded by the EPSRC AI hub
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development, and algorithm implementation. A strong publication record in high-quality peer-reviewed journals and the ability to conduct independent, rigorous research. Excellent communication skills and the
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excitations and excitonic effects using advanced Wannier-based methods * Quantum transport in polymer materials with electron–phonon coupling Full details and application instructions: https://www.ch.nat.tum.de