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often struggle with tasks requiring deeper reasoning, logical coherence, and long-term planning. These limitations hinder their applicability in domains where reasoning and long-term decision-making
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chemistry and life cycle thinking in early decision-making. AI-based methods and hybrid models, which integrate data-driven and mechanistic modelling, hold significant potential to enhance prospective
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. Your work will focus on developing physics-informed AI methods to enhance decision-making in design and operation of next generation thermal energy storage systems, such as latent heat TES and
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do The primary objective of this PhD project is to provide an in-depth understanding of (lethal) violence against women in the Netherlands through a comprehensive analysis of existing and newly
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
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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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-waiting – were successful spies in seventeenth-century England. This is what Nadine Akkerman describes in her book Invisible Agents, the first analysis of the role of female spies in the seventeenth century
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they bond in materials, but also develop transferable skills in scientific computing, data analysis and visualisation. "Machine learning for atomic-scale structure determination in thick nanostructures" (with
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at providing a comprehensive understanding of soil N flux dynamics, and coordinated by UGent, with Prof. Abdul Mouazen, named as the project coordinator. NitroScope will make a combined use of different
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understanding of soil N flux dynamics, and coordinated by UGent, with Prof. Abdul Mouazen, named as the project coordinator. NitroScope will make a combined use of different measurement techniques to reduce