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tools for static and dynamic analysis are powerful for detecting vulnerabilities, they suffer from both theoretical and practical limitations. Their results are often plagued by false positives (reporting
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cell-derived tissue models for corneal regeneration through state-of-the-art (single-cell) multi-omics analysis. You will collaborate with other doctoral candidates in STEM-CORE through joint projects
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adaptation in the Netherlands and Germany. What are you going to do you perform empirical qualitative research (such as in-depth interviews and policy analysis) on climate adaptation and housing in
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empirical sociology and complexity approaches Learn to integrate survey data, network analysis, and agent-based modeling Develop strong skills in data analysis, modeling, and social experiments Collaborate
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and integrates two crucial elements for the breakthrough and impact of Additive Manufacturing: Standardization and Intellectual Property (IP). Aiming for both theoretical and practical contributions
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require new mathematical machinery. LOGSMS will combine diverse tools from discrete mathematics, learning theory and machine learning, thus facilitating the design and analysis of such models. PhD position
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the world. Code Review Efficacy The reviewing track will explore ways to make code reviewing more effective and efficient. A major element is how LLM tools relate to reviewing, either when code is produced by
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sensitivity analysis Analysis and integration of various in vitro/in vivo data for model calibration Approximately 5% of your time will be dedicated to tutoring, teaching, or supervising students. Are you ready
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research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component. The INtelligent Data
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responses in vitro. Combined, these results will provide a unique insight into the sensory mechanisms underlying the coevolution of insect and plants, which is a major driving factor of biodiversity and has