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department At HTSR , interdisciplinary expertise is brought together to aid decision-making on health innovation development, evaluation, optimization, and implementation. Research concentrates on quantitative
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PhD position ‘Courage to Correct: Balancing Error Prevention and Learning in Strategic Crisis Teams’
focus on error management is insufficient. Instead, optimal performance emerges from balancing error management with error prevention (Van der Byl et al., 2023). Emerging theory argues for performance
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communities or living labs). Our studies often take place in the high-tech, health, and educational sectors with the intention to understand, evaluate, and optimize (inter)professional and (inter)organizational
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biodegradability. You’ll systematically study the impact of molecular structural parameters on material properties and biodegradability (‘structure-degradation correlation’). You’ll also optimize light source
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system performance and guiding the design process. 2. System Optimization for Cost and Performance: Using your numerical model, you will conduct extensive optimization studies. The goal is to fine-tune
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logistics, energy systems, and AI-driven optimization. These problems are widely regarded as the natural domain of quantum computers, yet they remain extremely demanding for both classical digital computers
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of the applied currents, leading to large parameter spaces for applications. To optimize tACS towards a technique of network stimulation in the human brain, we use computational modeling at the population level
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identifies optimal materials and AM processes based on performance, sustainability, and reusability criteria. They will develop and validate this methodology by integrating material databases with digital
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processes. The PhD candidate will combine materials science, computational modelling to design a novel framework that identifies optimal materials and AM processes based on performance, sustainability, and