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Field
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a PhD degree in physics, chemistry or materials science, with a strong expertise in functional conjugated organic materials for optoelectronics a/o energy conversion, advanced steady-state time
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-sensor fusion, and propagation modeling — to develop AI-enabled detection, classification, and triangulation algorithms for critical energy infrastructure applications. This position resides within
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UiO/Anders Lien 15th March 2026 Languages English English English Join the University of Oslo as a PhD fellow in Innovation Studies, researching energy transition governance! PhD research fellowship
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as a PhD fellow in Innovation Studies, researching energy transition governance! PhD research fellowship (SKO 1017) in Innovation studies Apply for this job See advertisement About the position One PhD
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-tuning, multimodality, MLOps, and model management. Ability to optimize AI models under energy and memory constraints. Experience applying AI across diverse domains (health, mobility, cybersecurity, energy
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T cells cell contribute to tissue inflammatory in atherosclerosis, the underlying cause of heart attack and stroke. About You We are seeking an outstanding, self-motivated, and ambitious early-career
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biological sciences, possess strong laboratory skills in cell and molecular biology, and have a track record of publications and engagement. This recruit will work collaboratively with investigators in other
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, as well as designing, testing, and debugging to improve software quality across domains such as FinTech, energy, and Industry 4.0. Within this context, the PhD will contribute to the group’s growing
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costs and energy requirements of state-of-the-art deep learning models significantly, while democratizing them for a vast community of users, researchers, and practitioners. The task is to perform just
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computational methods and scalable pipelines to decode noncoding RNAs and their epigenetic modifications from diverse high-throughput sequencing data, including bulk, single-cell, and long-read sequencing data