64 parallel-processing Postdoctoral positions at Technical University of Munich in Germany
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understanding of cognitive processes in the context of legitimacy and translate it into concepts that can be operationalised in empirical, especially experimental, studies, and by using focus groups, interviews
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-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application
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these mechanisms, as they reca-pitulate key aspects of embryonic development and tissue morphogenesis in vitro. The group of Prof. Bausch investigates the physical principles underlying these emergent processes and
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ranges. • Design and optimize HSI data-processing workflows, including spectral calibration, preprocessing, classification, and mapping. • Integrate HSI with complementary spectroscopic techniques (Macro
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of generally equivalent suitability, aptitude and professional performance. International applicants are strongly encouraged to apply. Application Process We look forward to receiving your comprehensive
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of Excellence. Support strategic and administrative coordination processes within Focus Area 1. Requirements Excellent doctoral degree in management with a focus on innovation, entrepreneurship, sustainability
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writing. Drive the publication of research results in top-tier robotics conferences and journals. Requirements Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, or a
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subscriptions Access to advanced training opportunities for professional development Application process We look forward to receiving your application documents (one-page letter outlining your motivation and
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the application process is complete. Application deadline / Closing date: January 7th, 2026 The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally
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23.10.2025, Academic staff Automated cell culture systems are transforming the way we study complex biological processes. By enabling reproducible, standardized, and high-throughput generation