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Field
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power management • predictive power management from circuits to voltage-aware model optimization and test chip demonstration • predictive power management from circuits to voltage and temperature
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results at the interface of optimization, geometry, and machine learning Designing, implementing, and testing algorithms Engaging in scientific exchange with collaboration partners of the project
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readout technologies, including the development and experimental validation of waveguide-integrated SNSPD devices; process integration; optical coupling optimization; on-chip detection-efficiency
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pipelines for exhaustive search and optimization of symbolic regression models. • Benchmark: Conduct rigorous benchmarking and hyperparameter optimization of state-of-the-art symbolic regression
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«Detaljer» for å lese mer om dette og tilpasse dine valg. Om cookies Bare nødvendige cookies UiO/Anders Lien 15th August 2026 Languages English English English PhD Research Fellow in computer science/AI
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computing. Design and develop algorithms for for cache management and job scheduling in modern computing systems (such as LLMs). Analyze theoretical aspects of distributed systems, including optimization
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computing. Design and develop algorithms for for cache management and job scheduling in modern computing systems (such as LLMs). Analyze theoretical aspects of distributed systems, including optimization
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work on a project in the area of cross-border electricity market. The role will focus on cross-border electricity market design, market risk analysis, bidding strategies, and relevant optimization
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, kernel generation and optimization, performance benchmarking, and integration with production inference frameworks. Job Requirements A PhD degree in Computer Science or related field. Strong
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, point-of-care (POC) development, and biomedical diagnostics. This role offers a unique opportunity to contribute to the design and optimization of integrated microfluidic platforms for specific disease