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for electrical machines based on custom-designed embedded hardware and edge-deployable AI models. Building upon prior work that established basic IoT connectivity and AI-based fault detection methods
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. The specific focus of this position will be on the theoretical design of quantum platforms and models to improve upon existing error correcting codes, while leveraging platform-specific physics knowledge, be it
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of molecular complexes bound states 4. Required: Programming skills and experience in numerical methods 5. Preferred: Knowledge of the theory of molecular shapes and collision-induced optical resonances 6
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related to climate change and the interplay between climate dynamics and marine biogeochemistry is also essential. The successful candidate will demonstrate proficiency in numerical modeling and statistical
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are seeking a Research Associate to develop a high-fidelity Artificial Intelligence (AI) framework for modeling
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general, and specifically on systems with characteristic nanoscale features. They use finite element and ab initio software as numerical tools for modelling and analysis. We are seeking highly qualified and
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letter; b) Knowledge and experience numerical modelling – information provided in the CV and/or motivation letter. Additional optional skills and qualifications: a) Knowledge and experience in Python
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residential campus will form the heart of a new district in Nuremberg, not far from the his-toric old town. On its campus, around 6,000 students will learn from and work with around 200 professors and numerous
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solutions. • Topic (tasks): Creation of LCA and TEA models on technologies for the decarbonization of ammonia production; Providing recommendations to decision makers based on modeling results; Collaborations
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of renewable energy sources, with a focus on wind and photovoltaic plants. Through the integration of meteorological observations, high-resolution numerical models and machine learning algorithms, highly