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deadline 18 August 2024 Apply now Are you a creative and independent thinker and passionate about analytic philosophy of science? Are you interested in exploring how social scientists uncover causes and
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and compare policy scenarios on how to reduce it. Following recent developments in analytical sociology and computational social sciences, generative modelling (such as Agent-based modelling) has proven
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with qualitative research methods in social science as well as some quantitative methods in data collection and analysis. Experience in conducting research among culturally and linguistically diversified
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to expand your (social) network. Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international
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integrated into the institute`s own energy system model ETHOS.FINE ( https://github.com/FZJ-IEK3-VSA/FINE ) in order to find transformation scenarios without material bottlenecks. Your tasks in this context
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for admission to our phd programme can be read here - Syllabus for the PhD programme in informatics . In order to fulfill the requirement for special eligibility, it is required that the applicant has basic
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The Faculty of Engineering Technology (ET) engages in education and research of Mechanical Engineering, Civil Engineering and Industrial Design Engineering. We enable society and industry to innovate and create
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order to find transformation scenarios without material gaps. Your tasks in this context include: Researching, in particular, publicly available data on current and future phased-out material flows and
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that pushes the boundaries of human-centred AI research in crises. You have an MSc degree in a field with a strong emphasis on computer science and modelling, such as computational social science (essential
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intelligent system operators that guide user behavior toward socially desirable outcomes. By integrating theory with practical applications, the research aims to transform how we navigate cyber-physical systems