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Field
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-develop experiments designed to validate intended policies. During the PhD, you will: Gain expertise in theory-driven empirical sociology Learn to design and carry out behavioural experiments using state
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network theory and computational approaches to study social dynamics that shape behaviour. Using survey and registry data, the project will map social networks and develop agent-based models linking
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. We will closely cooperate with you and support your research activities. You will gain some experience with teaching and you will receive PhD-training within the Interuniversity Center for Social
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to either first-principles calculations or AI supported database management of high-throughput type calculations/simulations. Basic knowledge of density functional theory (DFT) is beneficial. Strong
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background in stochastics (probability theory and statistics) is desirable Good English as well as programming skills in R, python or C/C++ Pedagogical and presentation skills. German language skills are not a
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observation with people who are about to, or who have already, joined the gang environment in Sweden and Denmark, it is essential that the candidate can establish contact, gain access, and work in such
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technology experts work together to build a framework on open-source code (Python) that is high-performing and scalable to comprehensively quantify uncertainties using probability theory. This is where you
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more Find more general information about doctoral studies at Chalmers here . Your role and responsibilities Perform first principles calculations within the Density Functional Theory. Develop adaptive
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develop this innovative theory and combine spatial analysis with a Research Through Design approach. You first explore promising synergies in landscape services provision and analyse how to optimally align
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performance. Funded by the Swedish Research Council, this research is hosted at the Division of Chemical Physics. About us The research at the division of Chemical Physics at Chalmers University of Technology