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Vacancies PhD position on Liveness from causality analysis Key takeaways Programs often suffer from liveness issues - they may get stuck or fail to make progress. How can we address this? Our
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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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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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Vacancies PhD Position: Advancing Kinematic Couplings for Precision Alignment Applications Key takeaways The challenge This PhD research focuses on the advanced design and analysis of kinematic
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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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, analysis, and model choice while retaining strong error guarantees. This means that researchers can adapt their research questions and sampling plans to the data as they come in and in a way that is as model
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these impacts. Next, you will develop a method to include water quality in a water supply and demand balance for cities. This method development should ground in a document analysis and might be supported by