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Field
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inclusive learning environment that inspires students from diverse backgrounds. You will supervise and mentor BSc, MSc, and PhD students, supporting their development into independent researchers and highly
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Research Associate to develop, scale, and apply artificial intelligence (AI) and deep learning (DL) models for power grid systems. The successful candidate will contribute to scalable AI workflows for grid
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% of the UK’s electricity and are central to achieving net-zero targets and ensuring the resilience of national grid infrastructure. Preventive maintenance enabled by condition monitoring systems (CMSs) plays a
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-dominated grids, protection systems, and wide-area dynamics. Scalable algorithms and numerical methods for large-scale simulation. Scientific software and software architectures for next-generation simulation
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Researcher (R1) Positions PhD Positions Application Deadline 11 Oct 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Offer Starting Date 1 Jan 2027
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, with a PhD in Natural Sciences/Life Sciences and a dissertation field of Biology. Experience in advanced analysis of fMRI (specifically, analysis of grid-like responses in the entorhinal cortex, resting
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Sentinel-2) and integrate them with ancillary data including airborne lidar, tree-species maps, and gridded climate fields. Produce spatially explicit climate risk layers, including drought-stress maps by
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Job description We invite applications for a fully funded PhD position in the area of Scientific Machine Learning (SciML), which integrates data-driven machine learning techniques with established
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9 Jul 2026 Job Information Organisation/Company University of Oslo Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Aug
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and GNN, for forecasting electricity and thermal demand, local renewable energy generation, and grid availability. It also includes the dynamic optimization of system component operation and the