68 electronics "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" PhD positions in Germany
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- University of Würzburg - Rudolf Virchow Center for Integrative and Translational Bioimaging
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disabled persons or persons of equal status will be given priority in accordance with SGB IX. The above position is one of 15 doctoral candidate positions of the MicroMan4Health doctoral network (https
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disabled persons or persons of equal status will be given priority in accordance with SGB IX. The above position is one of 15 doctoral candidate positions of the MicroMan4Health doctoral network (https
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, investigates how smart and autonomous technologies can support social encounters in public space. It brings together Human-Computer Interaction (HCI), Design Research, and artistic research through speculative
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, investigates how smart and autonomous technologies can support social encounters in public space. It brings together Human-Computer Interaction (HCI), Design Research, and artistic research through speculative
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institute website: https://www.fz-juelich.de/en/pgi/pgi-3 and the research group in which this position is located: https://www.fz-juelich.de/en/pgi/pgi-3/groups/multitip We work on the very latest issues
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interest?If so, we look forward to receiving your application by 6th October 2026. Please use our online application form only.Required documents: CV, including list of computer skills and programming
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electronically via the MBI online recruiting platform at https://mbi-berlin.de/career . The position is open until filled. The evaluation is carried out on a rolling basis. For further information about the
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chirality. The network aims to exploit attosecond light-driven electron dynamics to overcome limitations associated with conventional chiroptical methods. The research targets potential applications in life
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isolation; electron microscopy and nanoparticle tracking analysis for vesicle characterization; RNA isolation and PCR; SDS-PAGE-based protein analysis; cell culture and immunostimulation experiments; and flow
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The successful candidate will develop generative machine-learning methods for amorphous molecular thin films — the supramolecular structures that govern the performance of organic-electronic materials