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and development work: logistics, supply chain engineering, mobility management, with a sub-focus on optimizing processes in these fields; supervision of doctoral and post-doctoral researchers and
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landfills instead of reentering the urban value chain. At the same time, existing planning and procurement processes lack unified digital platforms, clear end-of-waste criteria, and incentives for secondary
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existing groups in programming languages, compositionality, artificial intelligence, knowledge representation, and natural language processing. The role will include supervision of PhD students as
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and in-field operation. The project will investigate co-simulation and multi-domain integration methods, linking ECU DTs with vehicle dynamics, powertrain, and in-vehicle communication networks
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process). These empirical, computational and experimental methods and their reliability are often questioned due to various disturbances (wind, wave, current, biofouling, human factor) which can increase
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partners. Applicants should fulfil the following requirements: A master’s degree in engineering or science, with a focus on computer/data systems, energy technology, software/hardware, information technology
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employment (the maximum total length: 1,500 words). any other documents deemed important by the applicant. Contact for additional information on the documents required for applying and the recruitment process
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be used to gather transport, storage, and BWRX-300-specific waste forecasts. These foreground inventories will be integrated with Ecoin- vent background processes to construct life cycle datasets
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efficiency and corrosion risks. This PhD project will: Investigate the long-term durability of pre-insulated pipes, including degradation processes and reliability Conduct climate chamber experiments