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challenging real-world tasks. They will also explore reinforcement learning strategies to optimize decision-making policies in complex environments, and develop fine-tuning protocols for large pre-trained
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Network (O-RAN) Virtualization with Shared Heterogeneous Computing ACM MobiCom 2024 [5] A. Collet, A. Bazco-Nogueras, A. Banchs, M. Fiore, Explainable and Transferable Loss Meta-Learning for Zero-Touch
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Course location Heidelberg Description/content The Graduate Academy As a coordinating hub for meta-disciplinary skills training, career orientation and information services, the Graduate Academy
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Job Description If you are aspiring to shape the future of industrial R&D or academia, especially in the rapidly advancing fields of meta-materials, renewable energy systems, and intelligent
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, especially in the rapidly advancing fields of meta-materials, renewable energy systems, and intelligent structural technologies, this PhD position offers a unique opportunity. Join MET2ADAPT to engage with
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, reinforcement learning, multi-objective optimization (mathematical programming, heuristics/meta-heuristics). Proven success as PI/co-PI or primary writer on large proposals (e.g., NSF/DOE/DoD/state/industry), and
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++, Python, and JavaScript languages, multi- and many-core SoC, RISC-V, hardware synthesis, hardware-software co-design, (meta-heuristic) optimization algorithms, machine learning frameworks, (bonus topics