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., PsychoPy, E-Prime, Gorilla, Presentation). Hands-on experience in data visualization, data analysis, and programming in R and/or Python. Experience in, and aptitude for, complex statistical modelling (inc
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systems, autonomous platforms, and critical infrastructure—are increasingly exposed to cyber-physical attacks and uncertainties. These disturbances induce complex, time-evolving performance degradation
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into complex tissue-like structures. These structures offer exciting opportunities to mimic organ development and embryogenesis in vitro. However, current organoid models still only partially replicate natural
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interpreting complex datasets; experience with R or Python for (omics) analysis is a plus. Collaborative and organized – You manage complex experimental timelines and thrive in a multidisciplinary consortium
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underexplored. Rather than functioning as neutral tools, algorithmic models translate complex realities into scores, rankings, classifications, and predictions. In doing so, they shape how problems are defined
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synthesise complex evidence into clear scenarios and practical outputs that support workforce development and strategic decision-making. Beyond your research, you will contribute to academic publications and
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PhD position ‘Courage to Correct: Balancing Error Prevention and Learning in Strategic Crisis Teams’
technology to address today’s complex societal challenges. We are passionate about understanding human behaviour, fostering responsible innovation, and designing solutions that create societal value. Our
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macronutrients, proteins, fatty acids and polysaccharides, micronutrients and other specific bioactive compounds), and analysis of complex biological samples, generated in vitro as well as in human intervention
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, defect localization, temporal reasoning, and predictive maintenance in complex inspection environments. A second contribution involves predictive maintenance algorithms that integrate static data sources
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robotic platforms, integration of optical and imaging-based feedback, and development of modeling and control strategies for operation in complex biological environments. Particular attention will be given