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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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of materials related to e.g. climate change, modelling and design of railway systems, multi-scale modelling of pavement materials and structures, reuse of materials, structures and parts of structures
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positions available (preferably starting also on February 1 2026, a little later is possible). The international network offers a cross-sectoral, multi-disciplinary research and doctoral training programme
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? No Offer Description Job description Consortium This position is part of a European Doctoral Network consortium "Machine learning for integrated multi-parametric enzyme and bioprocess design", where 15
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Sciences, Human-Computer Interaction, Disability Studies, Social Sciences or a related field. Ability and willingness to work in a multi-disciplinary and multi-stakeholder team including working with people
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twins for sustainable ship design and multi-fidelity design space exploration for wind-assisted ships. Job requirements We are seeking an enthusiastic PhD candidate who has affinity in the following areas
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are looking for a candidate with transportation research knowledge who is comfortable with operations research methodologies as well as behavioral modeling. As the project is a multi-faceted one, we expect
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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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. Further develop the mesoscale approach to study cell polarity as a collective physical process: a conceptual framework that is now being developed in the Laan Lab. You will be part of a multi-disciplinary
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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