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cryptanalysis, and quantum search algorithms. They will also cover resource estimation and selective quantum error correction strategies. Where to apply Website https://aunicalogin.polimi.it/aunicalogin
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Istituto per il Rilevamento Elettromagnetico dell’Ambiente – IREA | Napoli, Campania | Italy | 21 days ago
Development of advanced DInSAR algorithms and methodologies for processing full-spatial-resolution multi-temporal SAR data acquired by multi-frequency satellite SAR sensors, aimed at improving the
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problems. The ultimate goal is to develop theory and methods for the construction of low-complexity invariant sets, using computationally tractable algorithms. Funding Notes This is a self-funded
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construction of sub-mK refrigerators. For more information, please see https://www.aalto.fi/en/otanano . During employment you are expected to lead the building of the infrastructure and its upgrades
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, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments
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appropriate Development of scalable numerical algorithms for systems containing large numbers of lasers and optical modes An important component of the project will be determining how numerical algorithms
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analyses of micro-randomized trials and experimental designs for Markov decision processes. The candidate is expected to innovate statistical methods and algorithms, create software implementations
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE | Bologna, Emilia-Romagna | Italy | about 1 month ago
be assessed. The list of activities: • Literature review on models and methods/algorithms for the design, configuration and management of automated solutions in material handling and warehousing
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P2S2 project: developing precise parton shower algorithms and studying their consequences in jet physics. - Develop a parton shower algorithm that is precise to the next-to-single log for ee collisions
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is expected between the brain signals of different subjects. The aim of this project is developing new adaptive and machine learning algorithms to successfully decode brain signals across subjects