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/SinglePageApplicationForm.aspx… Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications Professional skills Experience in: Reinforcement Learning (RL), Model Predictive Control (MPC
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with—or documented interest in—advanced statistical methods for causal inference in observational data, model-based imputation, genetic epidemiology, or the application of machine learning to registry
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. Food packaging is a main contributor to plastic waste due to its short lifespan. Once discarded, food packaging forms a mixed, soiled, and unsortable plastic waste fraction that, as of today, is not
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systems, and society. In this project, we have established comprehensive databases combining nationwide Norwegian health and socioeconomic registry data, biobanks and patient-reported data. Using advanced
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control Advance the knowledge on grid protection, control and automation developments The main supervisor of the PhD candidate will be Professor Irina Oleinikova . Co-supervisors will be Professor Hans
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-device and/or multi-modal interaction, advanced graphics, and social integration. This researcher position will explore one or more research questions concerning the use of AI in media production and user
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: Contribute to the definition and vision of smart grid reliability Develop and evaluate modern methods for power system protection and control Advance the knowledge on grid protection, control and automation
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for the three-year fellowship period. If you have employed AI-powered generative language models to prepare the project description, a declaration must be included at the end of the document, stating
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to individual demands, such as the desire for specialised narratives, multi-device and/or multi-modal interaction, advanced graphics, and social integration. This researcher position will explore one or more
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innovation. This creates outputs such as new prototypes, research articles, and software, as well as innovative start-up companies. Read more about the centre at www.mediafutures.no . Primary Objective Advance