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will be investigated. The current project will employ high throughput analyses methods such as transcriptomic and proteomic profiling. In addition, 2D and 3D cell culture models will be used
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. It requires combining what AI excels at, such as pattern recognition and processing data streams, with theories and methods for planning and logistics. The PhD research will focus on AI-enhanced
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key enabler of the energy transition, it also introduces complex stability challenges, many of which are not yet fully understood or addressed by conventional methods. Existing commercial simulation
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26 Jan 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of ICT and Natural Sciences Research Field Computer science Researcher
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studies using state-of-the-art methods in X-ray imaging and scattering and electron microscopy to study porosity, intermetallic inclusions, solute segregates and distributions, involving both in-situ
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Kunnskap som formar samfunnet UiB skal
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systems (GIS). The PhD project should develop methods based on spatial indicators used to assess current and future climate risks. The IPCC's risk framework is suitable to be operationalized with spatial
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criteria. Preferred qualifications Experience with empirical methods for qualitative and /or quantitative research will be considered an advantage. Experience with one or more of the following computing
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endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal disorders as a case study for advancing digital health in Europe
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rigorous academic training with real-world policy engagement. More about the position About the Programme HEPARD is an interdisciplinary doctoral training network that equips early-career researchers with