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Project summary: This PhD develops and evaluates a GPT-based AI co-facilitator for Group Model Building (GMB) workshops, supporting stakeholders in constructing Causal Loop Diagrams of complex socio
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language; b) Strong knowledge in the application of statistical methods in analytical epidemiology, applied to cohort studies; c) Solid knowledge of Geographic Information Systems (GIS), applied
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interested in doing causal inference in policy-relevant research, and working with large administrative data. Job requirements We welcome PhD candidates who aspire a career in research. To become one of our
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their own analytical perspective and empirical research strategies, provided these remain within the scope of the planned project. Over the course of the PhD, the candidate will gain skills in collaborative
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experience with digitalization, industrial maintenance, the mining sector, or the waste management sector, as well as an interest in sustainability and work environment issues. For more information about PhD
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nanosatellite/CubeSat constellations and to develop innovative GNSS-based sensing methods and AI models to detect a variety of Earth surface processes. This PhD position focuses on developing analytical models
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of analytical methods, digestion models, dietary modelling, and conducting consumer surveys will form part of the Doctoral Network’s tasks. The 12 PhD candidates will be based across seven different universities
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rare diseases. Experience with molecular biology is highly desirable. The ideal candidate demonstrates: A critical and analytical scientific mindset Attention to detail and a structured approach to data
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academic writing (e.g., previous conference or journal articles) Personal qualities Be highly motivated for completing a PhD Be open-minded and eager to learn Be goal-oriented, accurate, analytical and
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professional team Extensive state-of-the-art equipment and infrastructure in various analytical methods The opportunity to present your data on international conferences and participate in workshops A wide range