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with contactless sensor which can be integrated into existing data acquisition system enabling to monitor propulsion health as well as estimating remaining useful life (RUL). This PhD project is
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include producing and purifying enzymes, and performing biochemical characterisations using mainly NMR spectroscopy, but also other relevant methods. This will include structural analysis and investigations
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criteria Experience with large C++ code bases Experience with MLIR and/or LLVM frameworks Experience with Precision Tuning and/or other approximate computing methods Experience with one or more heterogeneity
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of the goals of WP1 in SecurEL deal with the development of Methods and indicators to monitor and predict Security of Supply including risk, vulnerability, and cybersecurity, integrating resilience as
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distinctions between valuable, acceptable, and non-acceptable use of these technologies in sport. The Nature and Value of Sport Virtual sports: With the help of virtual reality or computer-generated environments
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Development of novel feed/food Relevant analytical methods Knowledge of a Scandinavian language Personal qualities: We are looking for a candidate who is ambitious, curious, motivated and able to work in a
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. Deep Learning techniques, Data Engineering, and Semantic Technologies Open-source artificial intelligence, machine learning, statistical estimation methods, software tools, and big-data frameworks
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to which, institutional frameworks shape planning performance and sustainable urban development outcomes. This will involve the adoption of an interdisciplinary approach and the incorporation of methods and
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experience that qualifies you for a further career in higher education and research, in and outside academia. The research focus of this position will be in probabilistic methods for Generative AI. We aim
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system operation in the near future? The PhD position will pursue the following overall objectives: Contribute to the definition and vision of smart grid resilience Develop and evaluate modern methods