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Field
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their system-level integration Develop design architecture and break down requirements into functional blocks Create and execute test benches for RTL and timing simulations Perform formal verification
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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circuit design methodologies and signal integrity analysis Deep understanding of programming languages (Python, C/C++), algorithms, and problem-solving in a dynamic tech landscape Hands-on experience in AI
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Your Job: In this position, you will be an active part of our Simulation and Data Lab for Applied Machine Learning. Within national and European projects, you will drive the development of cutting
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to reason about software (e.g., LLM agents for finding and fixing bugs) Static and dynamic program analysis (e.g., to infer specifications) Test input generation (e.g., to compare the behavior of old and new
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positions will be advertised on our website. Academic admission requirements The prerequisite for the successful application is a Master's degree in a life science discipline (e.g. molecular biology
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to reason about software (e.g., LLM agents for finding and fixing bugs)Static and dynamic program analysis (e.g., to infer specifications)Test input generation (e.g., to compare the behavior of old and new
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a variety of fields in systems neuroscience, cognitive and behavioural neuroscience, computational neuroscience, translational and clinical neuroscience as well as cellular and molecular neuroscience
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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Leibniz Association. The following position is to be filled at the Institute at the earliest possible date, for a fixed term of three years, as part of the project ‘The role of glucosinolate-derived amines