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/casa-sdl-dbe/pinm ) 3. ProSeC: Bacterial protein secretion: from modeling and data analysis to application (Link: www.fz-juelich.de/de/ibg/daten-ki/casa-sdl-dbe/prosec ) 4. VICAR: In vivo
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link associated with each DC position. * The recruiting organization may decide to interview only those applicants who appear from the information available, to be the most suitable, in terms
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. The project involves close collaboration with experimentalists who provide the relevant data. Machine learning methods will be applied to link experimental (imaging) data to a mechanistic model. The results
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CV, cover letter, and contact information for two references, to Prof. Elmar Schiebel at schiebel.elmar@zmbh.uni-heidelberg.de . The PhD student will be a member of the Heidelberg Biosciences
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are listed below. For more information please visit the partner website following the specified link. DC 1 Development of wound healing and antimicrobial nanomaterial to be tested in ex vivo models
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. The positions are for a fixed term of three or four years (please check the details in the project link). Further information on the project is available at https://www.fz-juelich.de/de/ibg/daten-ki/casa-sdl-dbe
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process and the link to the official application platform for the 2025/2026 intake. Applications must be uploaded via the BGTS application portal at: https://www.scripts-berlin.eu/birt/bgts/bgts-application
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partner from data sciences provides data management and AI based Image analysis, an internal experimental group, and an internal simulation-sciences group (You+Supervisor+support by lab
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opportunities in which everyone can realize their potential is important to us. The following links provide further information on diversity and equal opportunities: https://go.fzj.de/equality and on specific
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). The advertised position is primarily linked to the study of different metal atoms in the MLT and their relation to the re-entry of space debris. The project RAISE (Rising Atmospheric Impact of Space Emissions) is