198 programming-language-"St"-"FEMTO-ST"-"University-of-St"-"St" positions at Technical University of Munich in Germany
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the strongest German business school for research, and #9 in Europe for M.Sc. programs in entrepreneurship. The TUM Campus Heilbronn is a dynamic organization whose goal is to achieve excellence in
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fields. Strong programming skills in Python, Java, C++, etc. A solid foundation in generative AI, machine learning, and related areas. Interest in Speech/Language Processing and its application. Know-how
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interoperable methodological framework for AI in gynecological oncology. We integrate symbolic knowledge representation (Ontologies/Knowledge Graphs) with Retrieval-Augmented Generation (RAG) and Large Language
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team. You will be enrolled in the TUM Graduate School with its structured doctoral program and professional-skills courses. You will contribute to an French-German collaboration on next-generation
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paid PhD position in the area of Natural Language Processing starting as soon as possible. Your responsibilities Research & development projects in the area of NLU and NLG Contribution to teaching on
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working in a highly international research team Very good programming skills (Python, C++, etc.) are essential Fluent English language skills (written and spoken) are required Our offer: A full-time
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, optimization, and problem analysis Strong programming skills (e.g., in Python, C++, or other programming language) Experience in working with off-the-shelf optimization software, such as Gurobi or IBM ILOG
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expertise in developing and training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills and
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autonomous systems Fluent English (spoken and written); German proficiency is a strong plus Ability to work independently, willingness to learn and acquire new competence Strong programming skills (Python, C
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for recognizing and adapting to unknown object types. Incorporate language processing to interpret natural language input, infer motion characteristics, and refine object labels. Develop introspection techniques