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Field
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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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strategy capable of determining, for a given quantity of interest (efficiency, forces, losses, fluctuations, etc.), which simulations should be performed and at what fidelity level in order to achieve
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progression levels. Scope 100% full-time. Location Uppsala, Sweden. Starting date By agreement, but no later than 15 October 2026. Application deadline: 2026-08-10 URL to this page https://web103.reachmee.com
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-riparian zone-stream connectivity at the reach-to-catchment scale. A novel experimental design is used to identify hillslope subsurface stormflow and to track its physical and chemical signatures during
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, of 29 August, amended by Law No. 57/2017, of 19 July, within the scope of project REVALGAE-Restoration of Damaged Ecosystems (EAPA_0130/2024), under the INTERREG Atlantic 2024 programme, co funded by
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to predict traffic demand, user mobility, and network conditions, enabling autonomous decision-making that maximizes network performance and user experience. A unique aspect of this research is the integration
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Research Framework Programme? Other EU programme Reference Number IPN/RH2026/CON4 Is the Job related to staff position within a Research Infrastructure? No Offer Description By determination of the Board
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a community unparalleled in its academic excellence across the broadest range of liberal arts and sciences disciplines. Together, the FAS seeks to foster an environment of ambition, curiosity and
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design decisions. Existing design assessment tools, such as disassembly oriented metrics (e.g. Re DiM), remain limited in scope, primarily addressing disassembly while neglecting other critical activities
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to provide reliable predictions and support effective decision-making. The aim of the PhD project is to address these gaps by developing theoretical and computational tools that combine game theory, graph