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Educational Sciences . This PhD programme is multidisciplinary and teacher education and professionalism is explored by multiple methodologies and by comparative analysis. The target group of the PhD programme
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of opportunity. Tasks will be literature reviews, simulations, data analysis from similar missions and/or data from project partners. The research will also include planning and conduction of field experiments
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Experience with, or documented ability to work with register data or large datasets is an advantage. Experience with—or documented interest in—advanced statistical methods including time series analysis
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. Experience with programming (for example Python/Matlab) and image analysis is highly recommended. Please share your GitHub code repository if you have one. In assessing the applications, special emphasis will
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engineering, computer engineering, electric power systems, simulation and visualization. Our research areas include autonomous vessels, robotics, cybernetics, medical technology and health informatics, and
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System Operation and Analysis (PSOA) at IEL, where we foster an open, inclusive, and collaborative working environment. Our working environment is characterized by a friendly, supportive atmosphere, with
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well as necessary resources for research related field work and conference travel. Your areas of responsibility Participate in data analysis Contribute to report writing Carry out project-related tasks as part of
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unique opportunity to work at the intersection of risk analysis, energy transition, and data-driven safety research. Are you motivated to take a step towards a doctorate and open up exciting career
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of opportunity. Tasks will be literature reviews, simulations, data analysis from similar missions and/or data from project partners, and also conduct and analyse field experiments. Furthermore, the candidate will
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wish to conduct research on topics within one of the following areas: The "blue economy" as an economic analysis model. Today, the term blue economy holds many different definitions, with a few people