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functions to work properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 1st March 2026 Languages English English English PhD Research Fellow in Biochemistry and Structural Biology
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fundamental insight into the structure-composition-function correlations that govern the performance of heterogeneous catalysts in reactions relevant to the Cyclic Carbon Economy: CO2 hydrogenation with green
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Proficiency in written and oral English Good knowledge of Norwegian language is an advantage Demonstrated ability to work independently in a structured manner, while also possessing strong collaborative skills
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and well-structured PhD trajectory, the PhD fellow will be required to develop a career and competence development plan in dialogue with the supervisory team early in the appointment period. Aksel
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/ML methods to improve drillability, increase rate of penetration (ROP), reduce non‑productive time, and enable cost‑effective geothermal well construction. The work includes evaluating geothermal
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related algebraic and analytic structures for the analysis and modelling of complex sequential data. Path signatures, originating in stochastic integration and rough path theory, provide expressive
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conditions is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills. Applicants must have good written and oral English skills
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criteria see https://www.nmbu.no/en/research/regulations-and-guidelines-doctoral-degrees-nmbu To be employed, you cannot have previously held a PhD position at NIBIO or with funding from The Research Council
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Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and interpretable framework for tensor analysis. Specifically, the project will: Develop novel, modular
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period at the University of Oslo. Place of work is Department of Informatics at Blindern, Oslo. Job description Unsupervised machine learning (ML) methods are widely used to explore structure in complex