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AI-driven quantitative analysis and predictive modelling of biomaterials, tissues, and regenerative constructs. The project combines advanced 2D and 3D bioimaging, including micro/nanoCT, confocal
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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 Modelling
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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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scenarios for achieving a low-carbon society in 2050. A key ambition of the project is to support scenario-based planning and backcasting. Rather than predicting a single future, the modelling framework
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and Earth-observation datasets. Developing AI models for predicting and mapping old-growth forests, key biodiversity habitats, and other ecologically relevant forest characteristics. Incorporating
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roads, railways and communities in Norway and in mountainous regions worldwide – and climate change is making them harder to predict. Protection structures are our first line of defence, yet they are
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mechanisms that integrate queueing theory, traffic modelling, machine learning, and network-performance prediction for improving latency, reliability and fairness to support mission‑critical services
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authenticity of visual media and provide understandable evidence for model decisions. The candidate will investigate how general-purpose pretrained visual and multimodal representations can be adapted
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20th October 2026 Languages English English English The Department of Biology has a vacancy for a PhD Candidate in Modelling Marine Larval Dispersal and Spatial Population Genetics and Demography
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the development of highly predictive and human-relevant biomedical models that overcome major limitations of conventional animal models. The recruited candidate will focus on the development of an advanced human