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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
, Sustainable Finance, and Twin Transition Apply for this job See advertisement About the positions Inland School of Business and Social Sciences , The PhD programme Innovation in Services in the Public and
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from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position The Structural Mechanics group is searching for a motivated candidate for a PhD position in
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applicant and the needs of the department. The research fellow must take part in the Department’s PhD program and is expected to complete the project within the set fellowship period. Project description
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employment is that the candidate is to be admitted to UiA’s PhD programme at the Faculty of Engineering and Science, Specialisation in Engineering Sciences, Scientific Field Renewable Energy . Further
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‑PhD and ready to establish an independent research programme at a level competitive for an ERC Starting Grant. Proven record of scientific excellence, originality and research independence. Commitment
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of computational methods for analysing plastic flow and fracture across various scales. These efforts will be complemented by experimental studies aimed at characterizing the material's microstructure and mechanical
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at the Department). The PhD-project will be connected to the research group of Prof. Nathalie Reuter at the Department of Chemistry and the Computational Biology Unit , in collaboration with Prof. Odd André Karlsen
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to the PhD programme is a prerequisite for taking up the position. It is expected that the candidate will be able to complete the research project within the duration of the fellowship. The primary purpose
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mechanisms. The postdoctoral fellow will take the lead on this endeavor, in collaboration with a PhD fellow focusing on brain function and health. PlastBrain is a collaboration between the Department
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increasingly recognized as a key factor in understanding climate variability and have the potential to improve seasonal to decadal climate predictions. The PhD candidate will investigate mechanisms of such basin