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Field
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with process safety and security concepts, accident modelling approach, and dynamic Bayesian Networks would be advantageous. Willingness to conduct research in a multi-national project team. Funding
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. These passports are envisioned to revolutionize the way products are tracked and evaluated, providing detailed information about their materials, manufacturing processes, and lifecycle. With DPPs, parties
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function differentiation, compositional Bayesian inference techniques); analyzing what is required (e.g., choice of data structures, static analyses and compiler optimizations, parallelism and concurrency
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vegetable production. These projects require objective scientific input, combined with the translation of research into practical applications. We work on both short-term solutions in close collaboration with
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creative – You bring substantial knowledge of statistical (e.g. Bayesian) methods, strong analytical skills, and creativity. Programming skills – You are proficient in Python and/or Matlab. Research
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(DPPs) has become a regulatory priority. These passports are envisioned to revolutionize the way products are tracked and evaluated, providing detailed information about their materials, manufacturing
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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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within FlexMobility will focus on the underlaying assignment and routing algorithms for real-time operation of the vehicle fleet and the multi-objective design of the mixed transporation network. Our key
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such networks and to unleash further features, in particular positioning, tracking mobile devices, and sensing. By addressing these research questions you contribute to making OWC technology mature for use in
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are tracked and evaluated, providing detailed information about their materials, manufacturing processes, and lifecycle. With DPPs, parties through the supply chain (including consumers) can access reliable