19 parallel-and-distributed-computing PhD positions at Delft University of Technology (TU Delft); yesterday published in Netherlands
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–specific ways, and their downstream biological effects remain poorly understood. This project tackles this fundamental gap — by building computational models that simulate what goes wrong in the brain, one
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–specific ways, and their downstream biological effects remain poorly understood. This project tackles this fundamental gap — by building computational models that simulate what goes wrong in the brain, one
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professional growth in the rapidly evolving field of electronic circuits and systems. Job requirements Essential Requirements: MSc degree in Electrical / Electronic / Computer Engineering, or a closely related
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Job description The TU Delft’s Faculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS), invites applications for a fully funded PhD position. This exciting project aims
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steel scrap is reused in high-performance applications. This research is part of the national Groeien met Groen Staal (GGS) programme, which supports the Dutch steel sector’s transition to a circular, CO
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and machine learning. Master of Science (MSc) diploma in Transportation, Robotics, Computer Science, Logistics, Operations Research, Industrial Engineering, Applied Maths or any other related field
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, computational modelling, and machine learning, and is well-suited for candidates eager to develop computational frameworks for next-generation structural dynamics and nanomechanical technologies. The vacant
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PhD in the Pavement Engineering section, where your project is part of a larger research program, KPE, that the section carries out together with the Dutch Organization for Applied Scientific Research
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models. This PhD is ideally suited to a candidate who enjoys hands-on experimental work, working with people, and combining cutting-edge measurement technologies with computational modelling. We
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-generation semiconductor materials for quantum technology. Our team has pioneered advanced semiconductor materials for spin-based quantum computing, and with this project we aim to take a bold step forward. As