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the mentorship of leading experts in one of the following priority research areas: Research area 1: Intelligent Structural Optimization using Physics-Informed Reinforcement Learning Research area 2: AI-Enhanced
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24 Mar 2026 Job Information Organisation/Company University of Oslo Research Field Medical sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 8 Apr
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Responsibilities: Develop and optimize strategies for multiplex CRISPR-Cas genome editing in Brassica Design, construct, and validate CRISPR-Cas vectors for efficient gene editing Generate edited Brassica plants
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aims to improve electrodialysis (ED) for REE separation by developing advanced membranes and integrating AI-driven optimization techniques. By combining materials innovation with machine learning
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5th May 2026 Languages English Norsk Bokmål English English Faculty of Engineering Science and Technology PhD Fellow in optics: advanced microscopy methods for bioimaging Apply for this job See
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well as optical and laser setups Develop and implement protocols for quantum computing and quantum sensing experiments Collaborate closely with a multidisciplinary team of PhD Students, technicians, and engineers
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materials, the design and optimization of catalytic reactors, the study of reaction kinetics, and the detailed microstructural and physicochemical characterization of catalysts. The primary objective is to
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overall objective of the PhD work. The key research directions in this project includes: Geospatial and temporal analysis of the transportation dataset Multi-agent system modeling for fleet optimization
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and improve the robustness of the analysis, optimization, modelling and inverse design of microwave components and systems. Key Responsibilities: Conduct independent and collaborative research on AI
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farming systems for vegetables (e.g. too high humidity, too high VPD, low light intensity, low or high water potential in the root environment, salinity, bacterial and fungal diseases) and to optimize