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negatives and improve detection performance. To address this challenge, a mix of formal methods, AI methods, and testing methods can be applied in both static and dynamic analysis. For instance, formal
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for donor kidneys. Central to this is the use of machine learning to evaluate the predictive value of biomarkers from various sources: donor-related data, perfusion fluid, and kidney biopsies. Kidney biopsies
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How can more households be engaged in the energy transition, especially those less willing or able to take part? This PhD project investigates how individual concerns and behaviors are embedded in
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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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computer systems. The modeling, analysis and optimization of the extra-functional aspects of these systems, such as performance, power/energy consumption, thermals, reliability, security or verifiability but
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Months: System-Level Analysis and Target Definition: Conduct an in-depth analysis of the overall system architecture and performance needs, translating these insights into specific requirements
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, partly due to a lack of reliable predictors of transplantation outcomes. The ADORABLE consortium aims to develop an advanced, data-driven assessment system for donor kidneys. Central to this is the use
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computational mechanics profile, to work on a challenging micro-mechanical modelling project, in an exciting multidisciplinary team. Information The transition to low-carbon steelmaking will significantly alter
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on the mathematical theory enabling these advances, via asymptotic analysis and nonparametric modeling. You will work in the Statistics section at the Delft Institute of Applied Mathematics (DIAM
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needs to be supplied with rigorous uncertainty analysis. The focus of this project is on the mathematical theory enabling these advances, via asymptotic analysis and nonparametric modeling. You will work