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, bringing together molecular-scale surface engineering, advanced microscopy, theory, and molecular simulations. The doctoral researcher will join at an early stage of this research project, with a
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surveys with human participants using platforms like Empirica or similar. Running social simulations with AI agents using platforms like Concordia or similar. Coding in Python or a similar language for
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theory, and expertise with one or several of the following concepts: machine creativity, agency, autonomy, motivation/teleology, value grounding and open-endedness . If in doubt, please contact us with
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institutional design Are you a researcher excited by complexity/systems theory and collective intelligence, and eager to do empirical work on how innovation systems can be reimagined for an age of
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-quality and high-impact research and for creating research networks supporting their careers. We welcome applications across all areas in Computer Science, including Algorithms and theory Artificial
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-quality and high-impact research and for creating research networks supporting their careers. We welcome applications across all areas in Computer Science, including Algorithms and theory Artificial
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potentials (GAP, NNP, MTP, ACE, MACE, etc.); Density functional theory studies of nanoparticles, surfaces, or bulk materials; Chemical reaction modeling and/or enhanced sampling (NEB, metadynamics
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level course in Production and Cost Theory. The overall share of teaching is about 10–15%. What we offer The successful candidate will join an active and internationally oriented research
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ecosystem functioning and the ecological and environmental processes driving the emergence of novel interactions. The successful candidate will contribute to advancing ecological network theory while
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information. You are expected to take an active role in advancing the MQS group’s research projects. Our recent work has focused on the theory and applications of quantum walk algorithms, variational