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this project, you will combine a deep knowledge of physical chemistry with robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning
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. An affinity with NLP and/or computer vision would also be welcome. You have experience with empirical research in speech technology, evaluating AI systems, and socio-technical factors of AI. You have an
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and travelling to international conferences. Your duties as a teaching assistant cover about 10 percent of your work time, spread over the course of the appointment. Would you like to learn more about
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physics, computational astronomy and an unprecedented amount of data driven by observation. You will learn to run simulations on high-performance computing clusters, ranging from broad parameter studies
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writing a non-academic book on this topic for a broader audience. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate
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robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning and neural networks for chemical property prediction. You will be part
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of data driven by observation. You will learn to run simulations on high-performance computing clusters, ranging from broad parameter studies with rapid binary-population synthesis codes to detailed stellar
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author in scientific journals and present the main findings at international conferences. Your teaching load may be up to 10% of your working time. Would you like to learn more about what it’s like
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% teaching load. You will also have the opportunity to further develop your skill set by attending courses that are relevant for your project and general development. Would you like to learn more about what
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physics, engineering, photonics or a related discipline, and an interest in learning how to handle optical equipment, operate laboratory instruments and analyse data. You have a good basis in optics, laser