16 network "https:" Postdoctoral positions at Delft University of Technology (TU Delft) in Netherlands
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to publish, expand your professional network, and develop expertise at the intersection of systems modeling, sustainability, and industrial practice. Job requirements A PhD in systems engineering, industrial
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the nacre in seashells, by combining them with soft organic polymers. This project proposes a method to mimic this by using 3D-printed concrete as a scaffold to guide the growth of a chitinous fungal network
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project (and a 2nd PostDoc vacancy within the project) can be found at its website: https://www.mobilitydesaignlab.nl/. Job requirements The candidate should have: a PhD degree in Artificial Intelligence
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to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands
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to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is
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(social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands. . Additional information For more information about this
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in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands. . Additional
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) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands. . Additional information If you would like more information about this
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development of simplified continuum-based models, enabling fast assessments across large quay wall networks. This position is part of the Bridge and Quay Walls (Bruggen en Kademuren) programme of
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, or materials informatics. Familiarity with explainable AI or counterfactual explanation methods. Experience with molecular dynamics data, graph neural networks, or multi-component system modelling. Track record