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learning environment, and we provide excellent training opportunities. We are offering a multi-faceted position in an international environment with a pleasant and open working atmosphere. You are going
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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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operational constraints and economic motivations across the value chain. To address these challenges, the project will develop multi-modal artificial intelligence methods to characterize metal scrap composition
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be done through literature review, stakeholder input, and an iterative Delphi process (a consensus-building method among experts). You will be part of the Policy Analysis Section within the Multi-Actor
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business and in a social context. At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different
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to simulate cascading disaster effects, as well as satellite and sensor data, looking specifically at 6 different use cases across Europe. In addition to the detailed innovative analysis of existing methods and
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for biological imaging in general. The position is part of the Netherlands BioImaging Infrastructure (http://eurobioimaging.nl ) which is a nation‐wide multi‐sited facility that enables breakthrough in cell/life
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TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe
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tailored surveys for enriching the understanding of the mixed system. The behavioural understanding on the demand side will provide information to the supply side, such as the trade-offs between different