91 high-performance-computing PhD positions at Delft University of Technology (TU Delft)
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Help decode
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-based modelling tools developed within the project. Your research will be supported by access to DelftBlue, TU Delft's state-of-the-art high-performance computing infrastructure, enabling computationally
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ultrasound sensors for quantitatively measuring
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(QuBriC), we are seeking a PhD researcher who will work on quantum error correction for photonic, optical and microwave, quantum computing architectures within the group of Prof. Terhal at Delft University
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to evaluate the effectiveness of inclusive eHMI design. Collaborate closely with other PhD researchers on related projects and relevant topics. Publish in high-impact scientific journals and disseminating
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in challenging environments. As a PhD candidate, you will develop and integrate high-fidelity simulation tools for neutron transport, thermo-hydraulics, computational fluid dynamics and fuel
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bottom and fly ash residues and can spread persistent contaminants. This leaves a major gap: how to valorize low-grade waste into high-value products beyond biofuels/biogas at industrially-relevant scales
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, reliability, and operational performance. As railway infrastructure ages and traffic demands increase, there is a growing need for innovative methods to continuously assess track condition and predict
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flows. This project is part of the Holland High Tech program, and you will closely collaborate with our industrial partners (M2i, Tata Steel). Job requirements You are a recent graduate looking to use
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nanoparticle performance. Develop formulation strategies that balance: Mechanical robustness (required for purification and storage) Ultrasound responsiveness for triggered drug release Computational simulations