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Field
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motivated candidate eager to work at the intersection of cybersecurity, software engineering, and artificial intelligence. About the project Vulnerabilities in software products continue to be a major
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We are offering a fully funded PhD position with a duration of four years for a motivated candidate eager to work at the intersection of cybersecurity, software engineering, and artificial
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about tackling both deep research challenges and real-world software problems, this project is for you. Seeking a PhD student who values the strengths of formal reasoning while recognizing its current
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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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mechanical, electrical, software, data science, and AI-expertise. We are seeking highly-motivated candidates for the six PhD positions advertised here that address the challenge above by pushing the boundaries
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; Modeling (using Gromacs and LAMMPS software packages and MARTINI-like upscaling) the filler-matrix interfaces to optimize thermal transport, e.g., by functionalization of the nanofiller surface; Simulate and
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publish their research in top journals in marketing as well as related fields. They deeply care about open science practices (e.g., data sharing and open-source software) and frequently host seminars
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analysis, has good software skills (Python, C++, ROOT) and has (some) research experience in experimental particle physics. Experience with machine learning algorithms and software is desirable but not
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physics or in a closely related field. The ideal candidate has a strong interest in data analysis, has good software skills (Python, C++, ROOT) and has (some) research experience in experimental particle