23 bayesian-object-tracking PhD positions at Delft University of Technology (TU Delft) in Netherlands
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—ranging from the mechanics of materials under climate change to full-scale testing and modelling—align closely with the MEDAS objectives. As part of this department, you will benefit from an inclusive
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of thousands of software engineers. Across several tracks, we will develop tools that rethink the future of software engineering. Our work will be informed by sound theories and supported by empirical data. In
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Engineering, Physics, Applied Mathematics, or related discipline. Proven track record in numerical methods and computational fluid dynamics. Proven track record in machine-learning methods for computational
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to explore how governments balance economic development objectives with adaptation to accelerating physical climate risks, as households-voters decide where to live given their preferences for public
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. This involves dynamic engagement like walking, observing, and handling objects. The relationship between perceptual experiences and the dynamic structures of the multi-sensorial information generated by active
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superposition and entanglement to “large” objects that we usually think of as classical particles. This is exactly what you will do at TU Delft. As a PhD student in our teams, you will investigate how
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to track how the prevalences of different strains in a mixed sample change over time. Your role: You will develop and implement algorithms to find, quantify and track mutations in evolving populations
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). At EI you’ll find a welcoming and open atmosphere. We have a track record of nurturing talent at various academic levels and will give you all the support you need to evolve in your PhD. Our world-class
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theoretical modeling, numerical simulation, and experimental validation. Key objectives can include: Developing theoretical and computational models for friction-induced damping in joints and interfaces
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the material consumption and environmental impact of energy generation. This PhD project is part of the MSCA Doctoral Network AWETRAIN (Airborne Wind Energy TRAining for Industrialization Network). Its objective