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is also expected to re-implement historical narrative systems in Python and help determine the course of a larger collaborative CNS project dealing with such systems. About the LEAD AI fellowship
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that are continuously updated as new evidence emerges. This PhD position offers a unique opportunity to contribute to advancing methodologies that ensure up-to-date and comprehensive comparisons of multiple treatments
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Programming languages such as Python, C++, Julia or similar as well as excellent English-writing and -speaking skills Furthermore, experience within: Knowledge of Hydropower planning and hydrology Graph neural
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for use across grid levels. Market-based flexibility for use across multiple grid levels. Qualifications Eligibility Requirements: A Master’s degree equivalent to a Norwegian master’s degree (120 ECTS
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++, Matlab, Python) and digital twins will be considered an advantage when candidates are ranked. Candidates already holding a PhD within this field are not eligible for this position. In
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flexibility value stacking strategies, enabling hydroelectric generators to maximize revenue by simultaneously participating in multiple market services such as energy arbitrage, frequency regulation, balancing
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opportunity to contribute to advancing methodologies that ensure up-to-date and comprehensive comparisons of multiple treatments over time. About the research group The research group “Knowledge and Data