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25th February 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a PhD Candidate in machine learning and large language models (LLMs
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emerging standardization efforts. The emphasis is on mathematical modeling and quantitative indices, system-theoretic reasoning, and formal framework development rather than application-specific
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, Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, or related field of the actual PhD position. Your course of study must correspond to a five-year Norwegian course, where 120 credits
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resources, like source code, hardware design, videos, etc. A 2-minute video of yourself explaining why you are a fit for the position You may apply before obtaining your master's degree, but you cannot begin
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) Partnership (DUT Call 2024), the UrbanBREATH is an interdisciplinary project focused on measuring, modeling and mitigating air pollution in urban environments. We combine low-cost sensing, community
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course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained at master's level. You must have a strong academic background from your previous studies and have an average
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, artificial intelligence, and its applications to large scale data domains in science and industry. This includes the development of deep generative models, methods for approximate inference, probabilistic
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circuits in mouse models Applying tissue clearing techniques and light-sheet microscopy for 3D imaging of the entire mouse brain Analyzing and interpreting single-cell genomics data to investigate cellular
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in their tissue context Development, optimization, and application of bioinformatic pipelines for data integration, analysis, and visualization of complex datasets Computational modeling of gene
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processing techniques, such as cold sintering, and requires strong skills in kinetic modeling and experimental design. The candidate will contribute to developing new workflows for electroceramics, optimize