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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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technology integrated with a cloud-based platform for real-time data analysis and remote expert consultation. The goal is to create an explainable AI-assisted monitoring system that improves decision-making in
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component of the project is to ensure that the results translate into impact by ensuring that they are implemented in the real-world in the Labmicta laboratory management systems. Your project will be
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to improve healthcare efficiency and sustainability. In this research hybrid simulation model will be developed. This model should combine individual- and system-level elements. The main aim is to evaluate and
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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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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
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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