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with established causal models. Ultimately, you will design algorithms for causality-based analysis and counterfactual recovery of liveness violations. Information and application Are you interested in
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from a technical and scientific perspective. The Ph.D. candidate will develop methods for uncovering DNS infrastructure dependencies at scale, relying on active measurements and graph-based analysis
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analysis, and high-performance simulations? We offer a challenging PhD position in the Mathematics of Computational Science group to design and analyse novel structure-preserving methods for stochastic
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structures. Other aspects of the research include a numerical framework for the sensitivity analysis to facilitate design optimization and experimental system identification. Information and application
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becomes a real challenge to uniquely extract information on their layer properties in order to understand and improve their performance. A way to “break the nanometric barrier” for structure analysis is to
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will focus on the development and application of innovative methods for data-analysis and integration, including AI based methods to combine the different types of data, using data from different case
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expertise in healthcare, technology, and quantitative analysis. Using data from the TopTreat consortium, you will identify prognostic markers to support personalized treatment, and assess their health
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position aims to assess the impact of drought conditions on water quality in urban areas. To this end, you will first review existing literature and water quality data to be able to map and quantify
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information on the gas properties and, therefore, on the composition of the gas. Important drawbacks of mechanical sensors are the fragility of the sensitive mechanical structures and susceptibility
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, development, innovation Researcher Technical and laboratory You are signed up for the Job alert Previous Next Sign up Cookies We use cookies and similar technologies to process your personal data (e.g. IP