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variable load and transient conditions. Develop a transient model to assess behavior during power demand fluctuations and optimize operational strategies. Study the degradation mechanisms of the HT-PEMFC
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limited. We are offering a PhD scholarship for a student to develop ambitious new machine learning strategies for generating AI-ready data. You will work at the frontier of active learning and ML-guided
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with respect to high level research, training and innovation within manufacturing engineering, in an exciting combination of academic and industrial environments. The selected candidate will receive
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on conventional computing platforms such as GPUs, CPUs and TPUs. As language models become essential tools in society, there is a critical need to optimize their inference for edge and embedded systems
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optimal strategies for cyber-physical systems”). The Department of Computer Science features a broad range of synergistic activities within research and education in the general area of computer science
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with respect to high level research, training and innovation within manufacturing engineering, in an exciting combination of academic and industrial environments. The selected candidate will receive
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research with possible continuation as a research assistant or in a possible PhD degree programme Place of employment and place of work The place of work is the Department of Animal and Veterinary Sciences
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Doctoral Candidate in the IntelliWind network, your primary research tasks will include: Designing and implementing a versatile, modular autonomous decision support system (DSS) to improve operations and