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from software error discovery to mitigation based on modern active learning. Job Description You will research the state-of-the-art in AI and apply it to real-world software problems at our industrial
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Find2Fix will engineer the first open-source tool for the entire process from software error discovery to mitigation based on modern active learning. Job Description You will research the state
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Are you fascinated by the large role software plays in the control of high-tech systems? Are you eager to contribute to improving supervisory controller development, and making it more structured
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. Process simulation software is being developed for virtual optimization of tool design and material handling, enabling first-time-right manufacturing. The predictive quality of these tools relies
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mathematical methods, algorithms, and applications are required. Simulators are a recognized method for architectural design explorations and the implementation of software development platforms. The goal
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join the Software Technology group led by Gabriele Keller. As our research group contains core members of the popular Accelerate and Stan DSLs for machine learning and scientific computing, newly
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manufacturing technology for producing small to medium-sized thermoplastic composite components in high volumes. Process simulation software is being developed for virtual optimization of tool design and material
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resilient: you are comfortable handling complex data and working in a demanding environment. Experience with statistical software (preferably R. MATLAB, Python) Strong interest in cardiovascular physiology
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you fascinated by the large role software plays in the control of high-tech systems? Are you
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; Disseminate results via publications, open-source software, and presentations; Assist in relevant teaching activities. Selection Criteria MSc degree in Computer Science, Artificial Intelligence, Data Science