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Field
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functionalisation, nanophotonics, nanofabrication, nanoscale photovoltaic devices, and in the characterisation of optical, structural, electrical and chemical properties of materials. The hosting environment is
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, nanoscale photovoltaic devices, and in the characterisation of optical, structural, electrical and chemical properties of materials. The hosting environment is equipped with state-of-the art facilities in
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the 36 months immediately before their recruitment date. The student will be enrolled in the structured PhD programme of the Department of Mechanical and Process Engineering or the Department of Health
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for health economic evaluation will be considered an advantage. The candidate should be able to work independently and in a structured manner, while also being capable of effective collaboration with others
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structure, user flow/pathways, and research data sources). Developing methodologies, frameworks, and recommendations for implementing STEM-focused instructional strategies. Contributing to dissemination
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structure, user flow/pathways, and research data sources). Developing methodologies, frameworks, and recommendations for implementing STEM-focused instructional strategies. Contributing to dissemination
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international institutions. More on the project at http://sure-ai.no. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality within the framework
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insights into fuel–air mixing, spray break-up, heat release, soot formation, and in-cylinder flow structures. Your immediate leader will be Professor Terese Løvås. About the project The PhD project will
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the development of buffer structures) and AlGaN growth for AlGaN/GaN heterostructures. Exchange and collaboration with a diverse team of scientists from the REC² Cluster, in particular with those from the fields
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methods – ideally knowledge of several of the following aspects of quantitative data analysis: analysis of large/longitudinal datasets, latent variable modelling techniques, structural equation modelling