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monitoring will be based on real time data streaming from the machine numerical control. The project will cover all the aspects related to the implementation and automation of the tool life cycle management
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Do you have experience with modelling structures subjected to dynamic loading? Are you interested in data-driven methods for modelling applied loading? Are you eager to share your knowledge within
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of programming languages. The ideal candidate has an MSc in Computer Science or Mathematics and experience in one or more of the following areas: Theory of programming languages. Logical methods in
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demonstrator in providing faster and more precise kinesthetic teaching. This can be done by using Bayesian AI methods that incorporate prior knowledge of likely intentions estimated from a combination of visual
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. The successful candidate will work on developing new theoretical models and computational methods to investigate the fundamental limits of polariton-assisted inelastic electron tunneling in tunnel junctions made
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United States of America, including several Indigenous communities. The project relies on a range of ethnographic methods, including art-based approaches to elicit participation, and community specific dialogues that seek
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accomplished using methods such as reinforcement learning that should be initialized with information from human demonstrations. The developed method should be applied to the manipulation of flexible objects