146 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" PhD positions in Norway
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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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‑violation. For example, the candidate will do some of the tasks including: AI-driven Link Adaptation and MAC control – develop AI-based mechanism that proactively anticipate and respond to rapidly changing
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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
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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
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companies. The research will integrate techniques of numerical analysis and structure-preserving algorithms to generative modeling in AI. It will build upon the work done at IMF and SINTEF in this field. We
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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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for sustainable transport planning. The purpose of this PhD project is to develop modelling approaches that improve the ability to analyse future desirable transport scenarios under deep uncertainty. A central
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distances from the spatial structure of genetic genealogies across the genome, and the genetic relatedness among individuals; or develop and use biophysical models (hydrodynamics + particle tracking
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Models at the Department of Computer Science, Norwegian University of Science and Technology (NTNU). The position offers the opportunity to work on cutting-edge research at the intersection of deep