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knowledge into production software through a pipeline of composable capability units called gears: requirements → architecture → product fit → framework (G1) → application → runtime. We are building a World
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: in cooperation with Rolls-Royce Dtl. Research Associate (f/m/d) Research focus: AI-based design of engine architecture Salary group: E 13 TV-L 40 hours/week Reference number: HAP5 Your area of work
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of astronomical observation workflows.As software developer, you will work for PITZ to develop server software for the accelerator control system, as well as for the ACADA system's RM and CC subsystems. About your
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04.08.2026, Academic staff Fully funded PhD position (TV-L E13) at the Technical University of Munich (TUM) in Generative AI for Automotive Software Engineering. The project focuses on LLMs, VLMs
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mechanisms for safe action execution Prototypical implementation using the example "pushing hospital beds" and documentation What you contribute You are currently studying computer science, software
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Chair and Institute of Man-Machine Interaction | Aachen, Nordrhein Westfalen | Germany | 2 months ago
operation. The pilot mission is set to start as early as 2030. Together with international partners from research & industry partners, we are building the distributed software and control architecture
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of cementitious materials to biogenic sulfuric acid corrosion (microbially induced corrosion). In the Faculty of Architecture, Civil Engineering and Urban Planning, the following position is available at the Chair
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. Instead, existing AI-based control policies will be treated as control modules and integrated into the proposed safety architecture. The main scientific contribution lies in the control, safety, adaptation
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closely related field Strong foundations in software architecture, software evolution, testing, and debugging, and the ability to reason systematically about nontrivial systems Good programming skills in
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to help define the architecture, interfaces and future direction of our software rather than simply contribute to a predefined codebase. We are particularly interested in exploring how AI-assisted and