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/or machine learning background to join the Parallel Computing Systems (PCS) group at the University of Amsterdam. We look for vulnerabilities of AI systems across the whole AI system: from adversarial
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to this. The gathered data will provide new insight in the exact timing and variability in past landscape changes. Your results will furthermore contribute to computer simulations of coastal dynamics in a parallel PhD
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scalable training and inference on parallel, distributed and GPU-accelerated computing systems Benchmark the developed approaches against established methods, assessing predictive performance, generalisation
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 10 days ago
computations and developing efficient quantum error-correcting codes. Different approaches to implementing quantum computations are being pursued in parallel. The most widely-used approach is that of quantum
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. Interest in high-performance computing and parallel algorithms. Fully funded 4-year PhD position at KU Leuven and EnergyVille. Research at the forefront of future converter-dominated power systems. Access
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deployed through conventional casting for standard applications and through 3D printing for complex or non-planar geometries. In parallel, circular end-of-life strategies will recover fibres, upcycle fines
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results will furthermore contribute to computer simulations of coastal dynamics in a parallel PhD project conducted at WUR and provide context for visualisations of historic landscapes developed by a
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description Within the Thrombosis and Hemostasis research group
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23 Sep 2026 Job Information Organisation/Company Constructor Knowledge Labs gGmbH Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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be the head of the computing unit. About the project The primary research goal will be to create quantitative performance models that describe a range of numerical methods, parallel programming models