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on the applications of logical zonotopes in digital circuits and the model checking of discrete-space systems, with the goal of developing methodologies and tools that make verification scalable and reliable. Learn
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22.12.2025, Academic staff We are an interdisciplinary team at the Chair of Safety, Performance and Reliability for Learning Systems, and we are looking for exceptional postdoctoral researchers
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methods You will work closely with: - Dr. Martin Ramacher (machine learning for environmental applications) - Dr. Matthias Karl (urban air quality modelling and emissions) and collaborate within a project
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Research Engineer or Postdoctoral Researcher (m/f/d) in the field of Engineering Physics or Material
engineering A completed Master’s degree or PhD in Engineering Physics, Materials Science, Engineering or a similar discipline The ability to work independently, a willingness to learn, and a team spirit Good
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Master’s degree or PhD in Engineering Physics, Materials Science, Engineering or a similar discipline The ability to work independently, a willingness to learn, and a team spirit Good English skills
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, for event reconstruction and classification, including potentially machine learning/AI Interpretation in suitable theoretical models Contribution to software activities that are required for wider use by DESY
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Helmholtz Association of German Research Centres | Oldenburg Oldenburg, Niedersachsen | Germany | 3 months ago
of these areas, a willingness to expand into the others, as well as a general interest in sustainability. They will be proficient in quantitative methods such as causal inference, machine learning, and simulation
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Helmholtz Association of German Research Centres | Oldenburg Oldenburg, Niedersachsen | Germany | 3 months ago
research. The project will combine established methods from historical research with modern approaches from machine learning and network science. Your TasksThe work will involve the analysis of historical
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international journals • Present research findings at international conferences • Teach courses and supervise theses in the field of supply chain management • Support third-party funding applications Your profile
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Postdoc (f/m/d) Mechanical Characterization and Materials Assessment for Nuclear Applications / P...
data analysis and statistical methods # Interest in or initial experience with data-driven methods or machine learning is an advantage # Strong communication skills and a collaborative approach to