45 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" research jobs at Technical University of Munich
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• Interdisciplinary applications ranging from biomechanics and geophysics to fluid and polymer models Further information can be found here: https://www.math.cit.tum.de/math/forschung/gruppen/numerical-analysis
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and autonomous experimentation, ideally including experience with robotic liquid handling, hardware integration, or experimental workflow development • Experience with scientific programming and data
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) • Solid wet-lab experience and experience in library preparation for next-generation sequencing • Experience working in a Linux/Unix environment and R programming • Written and oral communication skills in
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cell handling, differentiation, and organoid formation, while inte-grating automated imaging, quality control, and data analysis. A strong component of the work will be the programming and customization
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-organization. For more information go to: https://www.bauschlab.org Your Qualification: High motivation, curiosity, and commitment to scientific excellence Master's degree (for PhD) or PhD (for PostDoc) in stem
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)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: [email protected] More Information https://www.asg.ed.tum.de/en/lls
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-MS. (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). Ideally, the applicant takes over the co-supervision of selected PhD candidates. We are looking for an individual with a
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of the European Union (GDPR) at https://portal.mytum.de/kompass/datenschutz/Bewerbung/. By submitting your application, you confirm to have read and understood the data protection information provided by TUM. Find out
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)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: [email protected] More Information https://www.arc.ed.tum.de/en/rkk
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well-grounded and at the same time represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster