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Field
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in one of the following four topics: 1) quantum algorithms for combinatorial, discrete, continuous, stochastic, robust, or multi-objective optimization; 2) hybrid quantum-classical methods, including
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an opportunity for a Research Associate to develop quantum-enabled synchronisation algorithms for deployment on space-based platforms. You will contribute to research involving quantum and classical optical
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the Nordic region and municipality/industry partners on real use cases for e-health solutions conducting research in software systems, distributed systems, network technologies and advanced data analysis
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are seeking a Research Scientist specializing in Machine Learning, Data Science, Data Harmonization, and Synthetic Data Generation to lead the integration, standardization, and privacy-preserving algorithmic
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members Sriram Pemmaraju and Sourya Roy on sampling problems in the distributed and parallel computing setting. The ideal candidate will have research experience in sampling algorithms and related areas
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control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient
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caching algorithms for remote scenarios and reduce write amplification. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Responsibilities under the grant:; - Design of a key-value storage system
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, and systematic evaluation of results. Objectives: Development and application of artificial intelligence algorithms for different use cases in the energy sector, e.g., forecasting of renewable energy
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research in power electronics, distributed energy resources (DERs), advanced control systems, grid-edge technologies, and system integration. The position requires independent technical leadership in
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identification through lab-scale and field experiments. Key Responsibilities: Develop algorithms for guided-wave analysis, response analysis, sensor fusion, and system identification using distributed and multi