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, probability theory, and combinatorial optimization. Experience in decision-making under uncertainty and autonomous system operation. High level written and spoken English skills. You may obtain further
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candidates to apply for a 3-year PhD position in Responsible AI . This position is part of the project "Learn to Unlearn: Towards Responsible AI (TRAI) ", funded by Novo Nordisk, which focuses on addressing
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within computational modelling, optimization and integration of thermal energy storage technologies – such as large water pits and phase change material storage. You will work with colleagues, and with
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analysis of radionuclides in the environment and radioactive waste for assessing environmental risk, characterization of waste and tracing environmental processes. You will work in the laboratory
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measurement techniques, this project aims to use the data-driven approach to perform battery state estimation on real-life use cases. The PhD position is part of the Nordic5Tech (N5T) battery initiative
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transition probabilities. Use machine learning approaches to optimize model performance and run simulations over multiple time scales. Validate and improve the model with experimental data collected by
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measurement techniques, this project aims to use the data-driven approach to perform battery state estimation on real-life use cases. The PhD position is part of the Nordic5Tech (N5T) battery initiative
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renewable energy sources are involved. Emerging digital and cyber-physical systems technologies are an integral component of grid interactive efficient buildings. Through advanced control and operation of
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processing, optimization, or information theory; Experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid, is a plus; Familiarity with the basic concepts
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and estimate tidal components. When relevant, compare with tide gauge data. Develop robust station infrastructure capable of withstanding extreme Arctic weather conditions. Optimize power supply