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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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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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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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data such as online customer reviews. This work will produce a generalisable, open-source tool for computing variable-threshold accessibility indices. Examine the relationships between N and health and
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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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) influence system performance and trade-offs. The research will combine analytical modelling with data-driven and AI-based methods, for example for scenario generation or uncertainty exploration. The PhD will
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excellent analytical and programming skills (for example in Stata, R or Python), experience working with data, and an enthusiasm for interdisciplinary research that bridges data science, healthcare, and
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to up to 30 kHz leads to the massive production of data, for which fast (even quasi-instantaneous) processing via neural networks is crucial. Objectives and expected results: The PRICELESS PhD project
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Area’ field blank Select ‘PhD Energy Materials' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: A ‘Personal Statement’ (this is a
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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