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Field
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mission is to create the theoretical, computational and algorithmic paradigms that will enable us to understand the programs of life and how they connect across scales, from proteins to cells to tissues and
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foundations for the next generation computing systems. Our research is currently focused on two-terminal non-volatile memory devices called memristors. These devices have shown an electrical behavior similar
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ongoing MSc degree in a relevant field, such as Computer Science, Data Science, Artificial Intelligence, Civil Engineering, Construction Management, Infrastructure Management, or a closely related
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of using existing and emerging grid assets to ensure grid reliability and affordability of energy supplies. The group focuses on advanced grid modeling using advanced computing resources (e.g., quantum
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computational and data-science methods, including modern ML/AI workflows for pattern recognition, clustering, anomaly detection, and inference in large and noisy datasets. Exploratory work in quantum algorithms
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UiO/Anders Lien 2nd August 2026 Languages English English English PhD Research Fellow in High-Performance Computing Apply for this job See advertisement About the position Position as PhD Research
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, security, and next-generation communication systems. The division also plays a key role in engineering education, particularly within the Master's programme in Information and Communication Technology. You
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Research and develop autonomous decision-making algorithms for process industries (e.g., chemical, pharmaceutical, materials, energy) or discrete manufacturing (e.g., electronics assembly, automotive, home
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tools, especially with application in drug discovery. Experience with high performance computing environment (HPC) / cluster job submission. Knowledge of statistical methods, data science algorithms
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detection algorithms for cracks, chokage, deformation, corrosion, etc. Establish datasets, annotation standards, training pipelines, and benchmarking protocols for ML models. Integrate uncertainty estimation