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predictions of river flow direction and connectivity. You will lead the development of scalable and reproducible data and machine-learning pipelines, upgrade the GRIT global hydrography, and design and evaluate
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Develop advanced models to understand and predict piping
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quantification, and structural surrogate frameworks based on Artificial Intelligence. You will develop tools that bridge from detailed simulation to rapid predictions, compute structural sensitivities, address
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try again. UiO/Anders Lien 20th October 2026 Languages English English English Join the University of Oslo for a PhD in Biomaterials! PhD Position – AI-Driven Multimodal Analysis and Predictive
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-derived material, tissue engineering, microfluidics, advanced analytics, and digital technologies, NAM platforms enable the development of highly predictive and human-relevant biomedical models
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communication. Move beyond descriptive ligand–receptor analysis to models that predict and help understand how cells react to signaling cues. ● Joint models of regulation and dynamics. Flow- and diffusion-based
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omics dataset generated to infer alterations in gene regulatory networks and cell-cell communication pathways responsible for the neurodegeneration. These predictions will be functionally validated using
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devices, building a software-supported framework to predict and optimize laser-material interactions, energy transfer, and resulting micro-scaled features during drilling and shaping, and modelling of beam
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prediction of machining results and improve process stability with fewer experimental iterations. The project integrates antibacterial coating strategies to predict coating efficacy and long-term surface
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and AI techniques will be used to predict periods of harmful phytoplankton occurrence and to investigate their environmental triggers in the Galician Rías Baixas (NW Iberia). The work will also involve