12 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" positions at Technical University of Munich in Germany
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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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. The research asks how coding agents can transform old COBOL and Java systems in a way that is spec-driven, traceable, and verifiable enough for enterprise governance. Start 01.10. or 01.11.2026, applications
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computation? We are establishing a research team to develop an AI-driven conceptual design platform that automatically generates efficient, code-compliant structural schemes from inventories of reclaimed steel
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07.12.2022, Academic staff The institute for communications engineering offers a position for a doctoral or young postdoctoral candidate with the topic “Communication and coding in quantum networks
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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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• Complete Bachelor and Master transcripts • Degree certificates • Publication list, if available • Code portfolio or GitHub profile, if available • Names of references, if available Please include all
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desirable, as well as knowledge of behavioral coding programs (e.g., Datavyu) and mastering of statistical methods and programming languages (e.g., R, Python). Experience with online data collection and
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, regardless of nationality, gender, or background. Note: The recruitment process will adhere strictly to the European Charter for Researchers principles and the Code of Conduct for the Recruitment
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will need strong coding skills (preferably Python, but also other software and hardware description languages) as well as experience with Machine Learning Frameworks (such as TensorFlow, PyTorch, Stable
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into existing high-performance frameworks, the fast prototyping of new ideas in individual code, an interest in the entire simulation pipeline: starting from simple algorithms to state-of-the-art applications in