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consumption while guaranteeing optimal power production. You will work on the cutting edge of both wind energy and machine learning, two of the fastest growing scientific disciplines, to develop graph-based
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academic area such as applied mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and
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optimized for resource-constrained IoT edge devices, - And what role optimised computing architectures can play in executing these models efficiently. The project will be conducted in close
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represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster networking, enable internationalization and
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represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster networking, enable internationalization and
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, Industrial Engineering, Computer Science, or Machine Learning. Solid experience with quantitative optimization methods, including (but not limited to) mathematical programming and stochastic dynamic
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Fixed-term: The funds for this post are available for 1 year. Applications are invited for a Research Associate (Postdoc) to join the Prorok Lab in the Department of Computer Science and Technology
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from Prof. Torben Larsen, Department of Computer Science, email: tola@cs.aau.dk, concerning the scientific aspects of the stipend. The application must be submitted via Aalborg University’s recruitment
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Vacancies PhD position in AI-based Grid Capacity Optimization using Battery Energy Storage Systems (BESS) Key takeaways The BATT-AI project aims to develop advanced methodologies based on artificial
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Your Job: You will be part of the top-class scientific department "Chemical Hydrogen Storage" at the renowned HI ERN. Under the direction of Prof. Dr. Peter Wasserscheid, our department researches