14 high-performance-computing-postdoc research jobs at Delft University of Technology (TU Delft) in Netherlands
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priority in the regional aircraft sector. A fundamental enabler for this transformation is the availability of airworthy, high-performance Battery Energy Storage Systems (BESS), capable of meeting the
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join TU Delft as a postdoc on the CHESS project to model, design
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Challenge: Managing flood risk in vulnerable interconnected
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-quality, and cost-effective mitigation schemes that can guarantee efficient and reliable memristor-based CIM operation for AI workloads. The Computer Engineering (CE) section of the Quantum & Computer
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well as high-quality, and cost-effective mitigation schemes that can guarantee efficient and reliable operation. The Computer Engineering (CE) section of the Quantum & Computer Engineering (QCE) department is
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This Postdoc position focuses on the development of assessment and
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to DRI on a fundamental level is critical. As a postdoc in Steelmaking Process Kinetics, you will: Explore experimental techniques to replicate and quantify DRI melting, heat transfer and DRI-slag
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Challenge: Control robotic dexterous hand during dynamic movements
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20 Sep 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Programming Engineering » Aerospace engineering Engineering » Control
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revolutionize high-speed super-resolution imaging through computational innovation. This project focuses on overcoming key limitations in microscopy not by building new hardware, but by creating smarter and more