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of multi-material printing, in situ alloying, gradient materials and adaptable process parameters. This PhD project will focus on producing BMGs by AM with improved mechanical performance. Who we are looking
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materials to direct industrial projects generating new inventions. We have a strong learning commitment on all levels from undergraduate to PhD studies where physics meet engineering. The research
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: Experience in matrix hydrodynamics and Zeitlin's model for the simulation of 2-D turbulence. What you will do Supervise master’s and/or PhD students to a certain extent Possibility to engage in teaching at
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is to perform your own research in a research group. The position may also include teaching on undergraduate and master's levels as well as supervising master's and/or PhD students to a certain extent
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. The successful candidate is expected to collaborate with PhD students working on related topics within the group. The position involves supporting research through tasks such as: Collecting data from archival
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findings in international peer-reviewed journals and conferences. Supervise master’s and/or PhD students to a certain extent and possibility to engage in teaching at undergraduate/master’s level The position
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journals and conferences. Supervise master’s and/or PhD students to a certain extent and possibility to engage in teaching at undergraduate/master’s level The position is meritorious for future roles in
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group. Main responsibilities Conduct research in collaboration with senior researchers and PhD students in the Automation group, with the primary goal of qualifying for a future academic career
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include opportunities for small fractions of time teaching on undergraduate and master's levels as well as supervising master's and/or PhD students. Another important aspect involves collaboration within
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We invite applications for a PhD position that explores the impact of Artificial Intelligence (AI) on Higher Education, in particular within STEM (Science, technology, engineering and mathematics