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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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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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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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its vibrant food, tech, and music scenes. Selection process The application procedure consists of two stages. Stage 1 If you are interested in applying for this PhD position, please contact Dr Tarmo