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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
. education, thesis work and, if applicable, any other research activities) • Describe your future goals: why do you want to pursue a PhD? Other documents: • Copies of bachelor and/or master’s thesis
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yourself • Describe your previous experience of relevance for the position (e.g. education, thesis work and, if applicable, any other research activities) • Describe your future goals and future research
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work will build on and extend an advanced in-house time-domain simulation tool for wheel–rail interaction and noise. The project is carried out in close collaboration with DB InfraGO, the German railway
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• Describe your previous experience of relevance for the position (e.g. education, thesis work and, if applicable, any other research activities) • Describe your future goals and future research focus Other
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reliable and stable grid operation in the future. The PhD project spans 4+x years (typically with departmental duties accounting for 0.5 to 1 year). Research environment This project is co-supervised by
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maintenance. Main responsibilities The aim of your PhD is to develop into a skilled and independent researcher and make contributions to research and industry within the maintenance field. You will work in
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striving towards a sustainable future. The project is connected to the national BASE centre and the COMPEL initiative. About the research project This project advances the environmental assessment of next
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, participant observation, action research, thematic analysis, discourse analysis, policy analysis. Experience in practical work around student recruitment, informal science learning, or STEM education
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Chalmers' new research initiative Ocean is seeking a highly motivated PhD student in environmental analytical chemistry and machine learning. In this role, you will work with high-frequency