31 programming-language Postdoctoral positions at Technical University of Munich in Germany
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mathematics, physics). For Postdoc applicants: Excellent track record in computer science or engineering. Fluency in spoken and written English is required. Proficient in at least one programming language, e.g
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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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, 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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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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programming experience; apply by sending CV and transcripts to alanwar@tum.de About the Role: Join us to push the state of the art in formal verification and reachability analysis for discrete-space systems
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(typically mathematics, physics). For Postdoc applicants: Excellent track record in computer science or engineering. Fluency in spoken and written English is required. Proficient in at least one programming
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active learning is 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
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cell handling, differentiation, and organoid formation, while inte-grating automated imaging, quality control, and data analysis. A strong component of the work will be the programming and customization
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, and clinical information with imaging data. Explore and implement Generative AI approaches (e.g., data augmentation, reconstruction, simulation). Investigate and apply Vision-Language models for linking
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related discipline. Strong expertise in medical imaging and/or machine learning. Excellent programming and research skills. Interest in translational research and interdisciplinary collaboration with