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scale: Training neural models with mixed precision solvers." This is a joint project involving Prof. Dr. Michael Bader (TUM CIT, Hardware-aware algorithms for HPC) , Prof. Dr. Felix Dietrich (TUM CIT
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Research Framework Programme? Not funded by a EU programme Reference Number AE2026-0308 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https
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quantum complexity theory, quantum algorithms, optimisation and quantum sensing. Your work will contribute to the development of new computational frameworks and approaches spanning sensing
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testing of model-free algorithms for real-time optimization of turbine operating conditions (e.g., yaw set points). Other projects may be assigned by the supervisor depending on skills and technical needs
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Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH | Barcelona, Cataluna | Spain | 14 days ago
Infrastructure? No Offer Description Mission: Provide support in the design and implementation of algorithms, and in the design and development of experiments within the framework of the project. Functions to
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Primary supervisor Mahsa Salehi Research area Temporal Analytics Lab The existing deep learning based time series classification (TSC) algorithms have some success in multivariate time series, their
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Primary supervisor Mahsa Salehi Research area Temporal Analytics Lab The existing deep learning based time series classification (TSC) algorithms have some success in multivariate time series, their
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the quantum-classical control and readout interface, and all the way to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing
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learning, physical AI, and spatial AI. The RF will contribute to the development of innovative algorithms, data preparation pipelines, and experimental evaluations that are central to the Physical
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Inria, the French national research institute for the digital sciences | Villeneuve, Queensland | Australia | 14 days ago
also be generalized to the design of meta-algorithms or hyper-heuristics, where the choice of the order in which different algorithmic components are combined (e.g., search neighborhoods, branching