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intelligence (AI), and analyses changes in trust and understandings, at a time when AI becomes integrated into everyday media experiences. The goal of the project is to develop new conceptualizations of what AI
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duties at the Department). The position is subject to financing by NFR. About the project/work tasks: The successful candidate is involved in developing ensemble learning strategies for cell-type
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NFR. About the project/work tasks: The successful candidate is involved in developing ensemble learning strategies for cell-type deconvolution to improve performance and to provide error estimates
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intermittent. The PhD will work will be twofold. The first part will be to improve and develop datasets and estimation algorithms for renewable energy that will enhance the simulation capabilities of the open
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develop datasets and estimation algorithms for renewable energy that will enhance the simulation capabilities of the open-source energy market simulation model for operational planning JulES developed by
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: Develop and refine the PhD project scope, including objectives, methodology, and detailed plans for data collection and analysis Data Collection and Quality Control: Plan and conduct discrete choice
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tasks: Project Design and Planning: Develop and refine the PhD project scope, including objectives, methodology, and detailed plans for data collection and analysis Data Collection and Quality Control
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group actively engages in research encompassing theoretical modeling of quantum systems, the development of optimization algorithms, and the exploration of light-matter interactions. On the experimental
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theoretical modeling of quantum systems, the development of optimization algorithms, and the exploration of light-matter interactions. On the experimental side, we investigate quantum properties of nitrogen
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computer science and mathematics: Theory of Algorithms and Extremal Combinatorics. By integrating these areas, the project seeks to develop innovative computational techniques and theoretical insights that extend