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Quantum Development", formerly "Women In Quantum Development", https://www.wiqd.nl/ ). Job requirements We are looking for a motivated and creative researcher interested in working at the intersection
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still designed with deterministic rules that say little about how safe they actually are. This project sets out to change that. We are looking for a PhD Candidate to develop a probabilistic, risk
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We are looking for a PhD student to help us develop practical cryptography for the post-quantum era. This (fully funded) PhD studentship focuses on provable security. Information You will develop
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Researcher in Fire safety engineering focusing on fire dynamics and material behaviour (PA2026/2714)
. The department conducts research and teaching linked to society's needs for infrastructure and construction. This also includes consideration of safety aspects and the development of methods for managing
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resilience and impacting quality of life – as well as longevity in general. At the same time, advances in AI have led to the development of conversational agents, AI companions, and socially assistive
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experiments into new regimes, using quantum control over heavy objects via a superconducting qubit to build quantum superpositions of unprecedented size. You will develop skills to become an expert in complex
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be to develop efficient methods for Hybrid Learning-Control Methods for Autonomous Underwater Manipulation: Modern AI has demonstrated remarkable capabilities in learning, adaptation, planning, and
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staff position within a Research Infrastructure? No Offer Description Challenge: Design building renovations under future uncertainty. Change: Develop uncertainty-aware life-cycle methods to optimise
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Are you fascinated by how machine learning can enhance control without compromising safety or stability? As a PhD candidate, you will develop scalable methods for expressive and flexible neural
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that generalize across different physical settings. Building on this motivation, the project focuses on the definition, development, and analysis of scientific foundation models: large-scale, generalizable models