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of helicopter components using a data-based as well as a physics-based approach. In the project “BIG-ROHU” (BIG Data - Rotor Health and Usage Monitoring), a system is being developed in cooperation with Kopter
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of genetically encoded agents, primarily for photoacoustic and fluorescence imaging.Using technologies like photoacoustic imaging, we seek to visualize small populations of labeled cells (e.g. immune cells) deep
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/postgraduate level as well as funding acquisition and (global) outreach, if desired. International networking and collaborations are regarded as an integral part of the PhD research experience and are explicitly
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an efficient transport framework. The positions are expected to commence in summer 2026; the exact starting date is flexible and can be agreed upon mutually. The group is part of the Cluster of Excellence e
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single PDF). We look forward to your application. • The vacancy will be open until filled • The position shall start in July 2026 Data Protection Information: As part of your application, you provide
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. As part of student research projects and courses, you will mentor students and create a friendly learning environment. In addition, you should have the following: - A successfully completed master’s
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part of a young and dynamic team at one of the leading engineering research organizations in Germany. The successful applicant will be employed as a research associate, paid in accordance with the rules
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, multi-component molecular chaperone machines and the question how membrane protein chaperones recognize and process clients on a molecular level. The project has the potential to provide exciting new
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group Integrative Food Systems Analysis / Section III are currently looking for a committed PhD Student to start on 01/05/2026. The position is part-time (TV-L 13, 65%) and initially limited to 3 years
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, hybrid ML–process-based models) for predicting ecosystem disturbances and risks Integrate process-based vegetation and Earth system models with data-driven components Analyze single and compound hazards