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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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to graduate before September 2027. Ideally, we then tailor both the coursework and the thesis to the project to be optimally prepared for the PhD position. Your tasks perform high-quality research
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encompasses model compression and optimization for edge deployment on UAV-mounted processors to support real-time inference. The candidate will collaborate with industrial partners for real-world data
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PhD candidate on Interprofessional Learning and Team Resilience through the Electronic Health Record
interprofessional care teams in making optimal use of available healthcare information for care optimisation. Your colleagues: You will be based at the Department of Educational Development and Research and the
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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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design next-generation computer architectures for running large AI models on embedded and edge systems under strict timing, energy, and memory constraints. You’ll explore hardware-aware optimization and co
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networks. How can leaders and organizations best manage diverse teams such that they can be optimally creative and innovative? For further information: Jasmien Khattab Opens external . Leadership in
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(PICs) increasingly used in various applications. To allow a smooth design flow for these PICs, optimized compact models are needed. This PhD position is enabling compact models for optical amplifiers and
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the consequence of selection and the best strategy for recording traits and optimizing selection decisions. For example, breeders must carefully assess risks and the trade-offs of selection for different traits
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Job related to staff position within a Research Infrastructure? No Offer Description Would you like to contribute to reducing health inequalities by co-creating, evaluating, and optimizing an adapted