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underground conditions. Apply machine learning and AI techniques to enhance model accuracy and optimize design parameters. Contribute to the development of a comprehensive, AI-based design methodology for LUS
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criteria Demonstrated knowledge and experience in electrical system modeling and analysis, applied control, power electronic systems, optimization techniques, and/or machine learning. Experience with
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and Market Dynamics Market and Strategy New Perspectives on Work-life and organizations Political Culture Social Analysis Sustainability Management Work Motivation and Optimal Functioning Affiliation
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well as on how different user groups experience and utilize these solutions. Are optimal solutions being chosen today? Are the solutions being used as expected by the user groups they are intended to serve? Is the
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optimization for antibiotics and research in general The applicant must be motivated for science in general and this position in particular, responsible, and also have a great work capacity Personal skills
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PhD Research Fellow in “Optimizing hydroelectric operations using predictive maintenance under data uncertainty” from August 18, 2025. This position is associated with the FME RenewHydro center
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. Experimental work could include the design, construction, and testing of prototype storage systems, while simulation efforts may focus on thermal modelling, system optimization, and safety analysis
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-hjem" discounted public transport to and from work as an employee in Norway, you will have access to an optimal health service, as well as good pensions, generous maternity/paternity leave, and a
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code compilation, which offer a modular approach to domain-specific optimizations. Your project is expected to contribute to cutting-edge research initiatives leveraging, analyzing, and exploiting
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and PhD students conducting cutting-edge research on energy policy incubators—collaboratively develop scenarios, optimize policy outcomes and public acceptance. Are you motivated to take a step towards