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and purely data-driven methods, which often lack robustness, interpretability, and reliability in uncertain and noisy conditions. To overcome these challenges, the PhD will explore multimodal sensor
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) productivity, optimization and efficiency, and (4) implementation and use of innovative energy solutions. The PhD student position is part of the newly funded KKS Synergy project WorkFlex+ which focuses
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