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standard fine-tuning. Key research objectives include: Developing efficient algorithms: exploring and designing training strategies (e.g., supervised finetuning, reinforcement learning, or new alignment
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interface, and all the way to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and quantum algorithms that solve life
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construction machinery to improve efficiency, adaptability, and safety under varying operating conditions. The work will involve designing and prototyping intelligent control algorithms, developing runtime
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for PhD stipends/integrated stipends in the field of communication systems and representation