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the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly decline offers of recruitment and advertising
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Doctoral student in Historical Osteology within the ERC-Synergy grant project "FORAGER" (PA2026/771)
to the development of entirely new food systems, which in turn triggered population booms across mid-latitude environments worldwide. These momentous changes are often reduced to simple linear narratives that trace a
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environment of the faculty where you are studying. We are looking for one to three students who want to be part of our teaching and contribute to the development of our activities within Industrial Design. The
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transformation, innovation, energy and sustainability, development economics and economic demography, as well as financial history, education, and labour markets. More information is available on the department’s
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includes advanced use and method development, primarily in solid-state NMR, to study hard and/or soft materials, including colloids, but also high-resolution NMR studies in liquids and NMR experiments using
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the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly decline offers of recruitment and advertising
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other things, that you prepare, purchase components, build, maintain, demount, and document laboratory setups in undergraduate education. You will also actively participate in the development of new
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their aggregation and fibril formation. These systems are characterized using both purified and complex samples. The work is focussed on the development of a universal cryo-Cage for structural analysis of refractory
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-electron microscopy is required, as well as specific expertise in the development and application of advanced membrane model systems for analysis using spinning disc microscopy and cryo-electron microscopy
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Doctoral student in Applied Mathematics with a focus on Computer Vision and Spatial AI (PA2026/1165)
understanding. We will in the project primarily study acoustic data and sensors, but the methods could also be applied to other sensor types. The thesis work in the project will include the development of new