24 bayesian-object-tracking PhD positions at Delft University of Technology (TU Delft)
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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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researchers, and external collaborators in an international research environment.The main objectives of this PhD project are to: Develop source localization algorithms that remain reliable in the presence
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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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implant microstructures. Implement and test topology optimization strategies for designing architected implants subject to multiple objectives (for instance maximum strenght and fatigue life). Collaborate
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characterization using cryo-electron tomography (cryo-ET), and complementary light microscopy methods. Specific objectives are: Setting up cryo-ET FIB SEM workflow for reconstituted synapses Visualize nanoscale
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-centred design. Experience with qualitative and quantitative user research, such as interviews, contextual inquiry, observations, questionnaires, and objective measurements for comfort studies. Strong
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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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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