31 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" PhD scholarships at Technical University of Munich
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and implementation of Retrieval-Augmented Generation (RAG) pipelines using automotive standards, technical documentation, software models, and source-code repositories Development of AI-supported
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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 of the European Union (GDPR) at https
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, designed for acidic water-splitting reactions in polymer electrolyte membrane (PEM) units (e.g., https://onlinelibrary.wiley.com/doi/full/10.1002/aenm.202301450). Your tasks in detail: Collaborate closely
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the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https://portal.mytum.de/kompass/datenschutz/Bewerbung/. By submitting your
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-trivial software. Solid understanding of algorithms, numerical methods, scientific computing, or machine learning. Ability and motivation to write clean, maintainable and well-tested code. Strong interest
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of novel catalysts by electrochemical flow cell measurements that will be coupled to on-line analytics (c.f. https://www.nature.com/articles/s41563-019-0555-5). Specifically, an in-house designed flow cell
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Information https://www.mos.ed.tum.de/en/afs/career/our-jobs/planning-uncertainty-1/
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More Information https://www.mos.ed.tum.de/en/afs/career/our-jobs/planning-uncertainty-copy-1/
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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.bpm.ph.tum.de/join-us/
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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 http://www.bpm.ph.tum.de