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used in the modelling of complex systems, and of statistical mechanics methods (particularly as used in the physics of spin glasses). Previous exposure to control theory is a plus. You are highly
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the chemical structure alone. Once established, we will expand the self-driving labs to measure more complex properties such as foaming, phase separation or particle formation, and fine-tune our AI models. In
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labs to measure more complex properties such as foaming, phase separation or particle formation, and fine-tune our AI models. In this project, you will combine a deep knowledge of physical chemistry with
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related field. You have a strong interest in visioning and strategy, complex problem-solving, and decision support. You have demonstrable strong analytical and methodological skills, and the ability
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of core web technologies. You have solid experience in Python and JavaScript programming languages. You preferably have experience with building and using machine learning models. You care deeply about
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at restoring motor function in models of motor disorder. Some part of the role may involve teaching and up to 0.1 FTE of your time may entail teaching activities. A fully funded PhD position is available
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of semantics, pragmatics, philosophy of language, conversational analysis and dialogue modelling), the series of experiments will result in four journal papers, to be integrated into a dissertation. You will
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with rapid binary-population synthesis codes to detailed stellar evolution calculations with 1D stellar evolution codes. The models you develop will be directly linked to new and upcoming observations