10 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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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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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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. 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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missions have revealed that some icy moons of the outer solar system have oceans beneath their icy crust. These findings have broadened the definition of habitability and placed these objects at the center
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algorithmic contributions in intelligent decision making. Apart from dealing with the scalability challenge inherent in modern AI applications, our group works on two main research objectives. First, we aim
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image analysis, and set-up super-resolution microscopy to track these changes. Combine experimental data with multiscale modelling, in close collaboration with the theoretical physicist Dr. Jos Zwanikken
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for efficient imaging of biological objects at molecular resolution. Job description Femto-Cryo project is a Topconsortium voor Kennis and Innovatie (TKI) project in a public-private partnership (PPP) scheme in
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aims to rethink how soft robots can interact with their environment, focusing on large-area, multi-point contacts—similar to how an elephant wraps its trunk around an object. Unlike traditional robots