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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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English Join the University of Oslo for a PhD in Biomaterials! PhD Position – AI-Driven Multimodal Analysis and Predictive Modelling of Biomaterials Apply for this job See advertisement About the position
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to strengthen resilience, preparedness, and fair allocation; (2) establishing site-specific, stakeholder-led strategies; (3) creating seasonal and long-term foresight by developing and coupling a suite of models
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for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured biological (multi-view) high
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. This highly innovative project aims to develop a fully AI driven digital twin that enables real-time optimization and control of fermentation processes. The candidate will develop the digital twin for microbial
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to investigate cascading cyber effects, cyber resilience, and advanced cyber range modelling. The research combines simulation, software development, and experimental validation in the Norwegian Cyber Range
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Contributions RO1: Develop methods for modelling dependencies and cascading cyber effects in interconnected systems. The research will investigate approaches for representing how cyber incidents propagate across
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for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured biological (multi-view) high-dimensional data. Develop modular
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the entire agricultural sector. Despite this importance, corrosion research remains dominated by case-specific studies and expert-driven intuition. This project aims to close that gap by generating, extracting
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remains dominated by case-specific studies and expert-driven intuition. This project aims to close that gap by generating, extracting and measuring corrosion data into a unified knowledge base. On the