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are remunerated according to salary group E 13 TV-L) starting at the earliest possible date in a DFG funded project „Blueprint for a modern sustainable phosphorus chemistry“. The position comprises 50% of the full
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innovation and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves
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potential. TUD embodies a university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation and active participation. For TUD, diversity is an essential and self-evident
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delivery drones, care robots, online health communities, AI-driven tools for communication and story-telling etc.) are being designed to overcome the current care crisis (aging population, shortage of care
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Tasks Design and perform experimental approaches spanning mechanistic to translational studies in relevant model systems, including in-vivo, in-vitro, and in-silico settings Participation in
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this project, the candidate will design and use machine learning (ML) tools to classify and analyze X-ray and neutron scattering data. This project also includes implementation of FAIR concepts (Findability
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simulations Lead the development of a real-time capable software architecture for simulations, as well as processor and hardware-in-the-loop experiments Lead the design and development of an advanced test
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goals in the PhD project below we now plan to exploit the potential of 3D retinal organoid models in our research projects. PhD project: USH1G patient-derived retinal organoids to model retinal
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to be filled is part of the second phase of the Collaborative Research Center 1463, "Integrated Design and Operation Methodology for Offshore Megastructures", funded by the German Research foundation (DFG
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plan by conducting experiments, sample and data analysis, and write up of results for scientific publication are part of the PhD process – a journey to become an independent researcher! Throughout