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systems such as fuel cells and batteries. Intelligent control and management systems will be designed to enhance efficiency, sustainability, and seamless integration. Developed models and strategies will be
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, utilisation of natural resources, shipping, predictive modelling, or climate risk Core courses in probability and statistical inference, optimisation, microeconomics, scientific methods Elective courses in
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. The project requires knowledge of real options analysis, quantitative modelling skills and understanding of the CCS value chain. The aim of the project is to: Develop methodologies to assess investment
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Additional preferred expertise and experience Experience with longitudinal data analysis and advanced statistical methods (e.g. linear and generalized mixed-effects models, growth curve analysis and structural
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energy systems. The work will build upon theoretical and simulation-based models developed at NTNU and MIT. As different carbon-free energy carriers are expected to be highly connected in the future
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The fellowship period is three years. The PhD candidate will work on the project entitled "Male Reproductive Disorders of Foetal origin – Development of an Organoid Model for Mechanistic Insight". Foetal life is a
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statistical methods (e.g. linear and generalized mixed-effects models, growth curve analysis and structural equation modeling). Familiarity with the opioid and endocannabinoid system and topics related
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and develop frameworks and knowledge on planning and coordination of resources within and across projects. apply quantitative methodologies, such as simulation and analytical modelling, to develop
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electron microscopy analysis, Raman spectroscopy, fluid inclusion analysis, potentially appropriate petrochronological methods, and 3D geological modelling. The project will be conducted in partnership with
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team will be located within a rewarding professional environment with an active community of PhD candidates and postdocs. Duties of the position As a PhD fellow, you will be expected to: Develop your own