47 application-forms "https:" "https:" "https:" "UCL" Postdoctoral research jobs at Technical University of Munich
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)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: clarimma.sessa@tum.de More Information https://www.arc.ed.tum.de/en/rkk
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, certificates, references, and publications) by 13 April 2026 to the following form: https://wkf.ms/4beNUNa Equal opportunity: The Technical University of Munich seeks to increase the proportion of women in
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, justice, technology, or on other forms of related inequality is desired. Fluency in English and one additional language is required. Applicants must have substantial fluency in the second language, such
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of personal data in the context of your application https://portal.mytum.de/kompass/datenschutz/Bewerbung/. By submitting your application, you confirm that you have taken note of TUM's data protection
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of the General Data Protection Regulation (GDPR) http://go.tum.de/554159 regarding the collection and processing of personal data in the context of your application. By submitting your application, you confirm
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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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-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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application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: Prof. Andreas Bausch e27applications@ph.tum.de More Information http://www.bauschlab.org
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(TUM). Please view our privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation
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, effort, and experimental expenses, and to provide data that is unachievable through experiments. Chemical kinetic models form the basis for a predictive tool, used to understand, optimise, and engineer