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Generative AI can improve the work of scientists. Generative AI and particularly large language models (LLMs) are assumed to lead to increased productivity in many areas of today's work life. Scientific
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Our offer Exciting work in an international environment and in a very well-equipped workplace Diverse further education opportunities (TUM Institute for LifeLong Learning, TUM Language Center) TUM
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Architecture, High Performance Computing HDL. - Working language English - Master degree or similar in Computer Science or Electrical Engineering We offer - Salary TV-L E13 - Modern office in the heart
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Strong demonstrable commitment to research Strong background in databases or knowledge representation Proficiency in the programming language Python Proficiency in English, excellent speaking and writing
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-based software systems. The open position is in the context of a 3-year project, which investigates how Generative AI can improve the work of scientists. Generative AI and particularly large language
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possess excellent collaborative and communication skills. Organizational skills and the capacity to manage projects efficiently in a dynamic environment are also vital. Language Proficiency: Very good
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processing workflows including QC and reproducibility metrics * APIs and packages supporting the development of new algorithms spanning large * language modeling of DNA and RNA sequences, and algorithms
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written and spoken English • Fluent language skills in written and spoken German Application process Send your application in English by email to [email protected] with title “Research Assistant application
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application deployment systems (Docker, Terraform, etc.) Proficiency in at least one programming language (Python, Java, R, Go, …). Excellent English communication and interpersonal skills, with the ability
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application deployment systems (Docker, Singularity, etc.) Proficiency in at least one programming language (Python, Java, R, Rust, …). Excellent communication skills in English (communication with consortia