395 computer-security-postdoctoral "Computer Vision Center" PhD positions in Netherlands
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Are you passionate about uncovering and addressing vulnerabilities in AI systems, from algorithms to hardware? Join Us! We are looking for a highly motivated candidate with a computer security and
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7 Oct 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Communication engineering Engineering » Computer engineering Researcher Profile
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parties. This PhD project designs, builds, and evaluates the management and orchestration (MANO) systems that make this multi-stakeholder continuum secure and dependable. The research question is how
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researcher. The Veldhorst group is a pioneer in quantum computing and simulation in germanium. They have demonstrated the first single-hole qubit, enabled two qubit logic in germanium, executed quantum
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Engineers usually want predictability. This project embraces chaos! – Excited about control theory? Then join us to build the math of chaotic sampling for greener and more secure control systems
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that repairs errors invisibly, in real time. As AI pushes data demand ever higher and quantum computers threaten today's encryption, future optical links will need to be faster and more secure than ever, and
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15 Aug 2026 Job Information Organisation/Company Leiden University Research Field Computer science » Informatics Computer science » Programming Engineering » Computer engineering Engineering
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PhD in Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of
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Computer science » Informatics Researcher Profile First Stage Researcher (R1) Application Deadline 15 Sep 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per
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Are you interested in advanced computational modelling and state-of-the-art scientific software? Join us in creating the Bayesian multiverse: a computational framework for robust statistical analyses