21 bayesian-object-tracking PhD positions at Delft University of Technology (TU Delft) in Netherlands
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modelling approach, and dynamic Bayesian Networks would be advantageous. Willingness to conduct research in a multi-national project team. Funding requirements: You cannot have resided in The Netherlands in
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for personnel require alternative solutions, such as moving rolling stock maintenance to daytime on days or periods with less transport demand. The objective of this PhD project is to develop and demonstrate a
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the vehicle fleet and the multi-objective design of the mixed transporation network. Our key hypothesis is that it is possible to design a mixed network by simulating how to serve a given demand with an
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for a longer period. An additional design objective is to enable automated repair and remanufacturing to increase the economic viability of these strategies. Your research will investigate how product
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environment perception in autonomous driving by integrating acoustics. Possible research directions include the use of audio-visual foundation models, audio-driven sensor fusion for object detection, cross
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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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experience and productivity of software engineers at the scale of Meta's tens of thousands of software engineers. Across several tracks, we will develop tools that rethink the future of software engineering
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experience and productivity of software engineers at the scale of Meta's tens of thousands of software engineers. Across several tracks, we will develop tools that rethink the future of software engineering
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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