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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 15 hours ago
for the identification and detection of mobile devices based on their signal emissions. An initial framework has already been developed by the team, and both the source code and datasets are openly accessible
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10th July 2026 Languages English English English The Department of Geosciences has a vacancy for a PhD Candidate in Methodology Development for Utilisation of Mining Waste (waste rock and tailings
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 15 hours 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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imaging, and inverse problems. Your goal will not simply be to implement algorithms, but to turn cutting-edge imaging research into reliable, accessible and extensible software – and to develop new
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of probabilistic and extremal combinatorics, structural graph theory and algorithms. We study problems on discrete structures such as graphs, permutations, posets or set systems using probabilistic, structural and
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pose estimation algorithms. The models and algorithms you develop will be part of open source and data repositories affiliated with the broader research program and TU Delft’s commitment to Open Science
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. During the PhD, you will work on topics at the intersection of probabilistic and extremal combinatorics, structural graph theory and algorithms. We study problems on discrete structures such as graphs
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the development of AI-powered smart care solutions. The position is at the Department of Computer Science, Electrical and Space Engineering, Division of Computer Science, at Luleå University of Technology (LTU
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datasets, our research focuses on developing algorithms and computational methods to detect patterns and generate insights. BDA blends a wide range of expertises, including bioinformatics, data mining, data
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develop algorithms for segmentation, motion tracking, elastography, and biomechanical analysis of aneurysms, with the goal of improving patient-specific rupture risk assessment beyond traditional diameter