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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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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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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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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 2 months ago
, ecological compatibility, and the design of suitable carrier systems. Research challenges One of the major challenges in microbial inoculation is the low establishment of introduced microorganisms in complex
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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
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possess. PhD Position in Behavioural Decision-Making in Supply Chains Our goal: To understand how decision-makers infer others’ knowledge in complex operational environments, and how these inferences shape
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that undertakes research across Europe and develops guidelines. She also leverages complexity theory in connecting experts in a range of disciplines to work together on practical methods for application in medical