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the PhD candidate may include (non-)linear inverse load estimation and data-driven/machine learning techniques that rely on physics-informed guidance for improved robustness. A key task will be to quantify
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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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theoretical frameworks to analyse various kinds of field data to answer key questions regarding future changes in biodiversity. About the project The PhD position is associated with the Advanced Grant project
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using experimental, computational and data-driven tools for sustainable energy, environment and infrastructure applications. About the project Age-hardenable aluminium alloys are extensively utilized in
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, PoreLab, Department of Physics, NTNU, Phone: +47 924 11 965 (alex.hansen@ntnu.no ). Main duties and responsibilities The position forms part of the ERC project AGIPORE, see https://cordis.europa.eu/project
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environments in the analysis of consumer response in CVCs. The announcement of this PhD position calls for applications across human factors computing, behavioural science and design that can unpack and
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documentation such as: certified copy of admission to a PhD programme programme summary of approximately one A4 sized sheet including information about your PhD project, topic, method, theoretical approach, and
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at the department. The position is funded by the Faculty of Psychology, University of Bergen. About the project/work tasks: The SapienCE Centre of Excellence, established in 2017, focuses on the behavioural origins
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of Marine Technology at the Norwegian University of Science and Technology (NTNU) has a vacancy for a PhD candidate for the project “Advanced Prognostic Condition Monitoring System for Rotating Machinery
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climate goal while ensuring human wellbeing and fulfillment of social needs? (focus: Norway) This entails the following sub-questions: How to design or transform residential buildings with respect