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Field
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-robot testing. Work could involve new algorithms, reasoning pipelines, foundation model evaluation, benchmarks, platform integration and practical deployment limits. It suits candidates interested in
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support. The PhD candidate will develop and validate a hybrid methodology that combines established stochastic optimization with AI-based learning. The aim is not only to develop new algorithms, but also to
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of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning
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IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
infrastructures such as IPFS (https://ipfs.io/ ) and Matrix (https://matrix.org/ ) on which we can plug replication mechanisms for file system synchronisation. Data replication algorithms have to be reliable (i.e
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and corrective feedback. You will apply advanced algorithms for machine learning, multimodal biosignal processing, and human-state inference, working with shared-control strategies and electrotactile
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decrease by two orders of magnitude, so that testing of control algorithms in a wind tunnel environment requires algorithms that are a significantly faster than they need to be in the field. Instead, wind
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localisation and sensing algorithms that achieve near-GNSS accuracy while improving robustness, energy efficiency, and spectrum utilisation in integrated terrestrial and non-terrestrial networks. Position You
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to protect sensitive information, trusted operations, and critical functionality. While cryptographic algorithms and software-level protections may be theoretically secure, their physical implementation can
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learning paradigms. The framework will support rapid prototyping, automated design-space exploration, and cross-technology benchmarking, providing new insights into the co-design of learning algorithms