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Übersicht PhD on Quantum Computing × AI for Optimization 100%, Zurich, fixed-term Drucken We invite applications for a PhD position at the intersection of quantum computing and artificial
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Skip to main content Search Menu Norwegian version Job openings PhD fellowship in quantum computing, optimization on noisy gate-based NISQ platforms Location Oslo Apply by 6 November 2026 Position
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guidelines for the efficient and automated design and optimization of small-scale turbomachinery. Required competences Strong background in model order reduction techniques, surrogate modeling
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Chronic Inflammatory Diseases Employer Inria Location Lille (Arrondissement), Nord (FR) Salary Minimum salary: €3,445 gross/month (€2,860 net), adjusted to qualifications and experience, with French
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PhD: Spatial Optimization of Land Use in Brazil Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40 Application deadline: 13
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Efficient and Reliable Numerical Solution of Dynamic Optimization School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Yuanbo Nie Application Deadline: Applications
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 7 hours ago
) for a collaborative project with a starting date of April 1, 2020. The candidate will be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 16 hours ago
, and astrobiology. Description: We are seeking a postdoctoral researcher specializing in silicon detector characterization and optimization for high-performance space imaging applications. The
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develop advanced optimization and analytics methods that improve routing, scheduling, and fleet utilization decisions while enhancing the robustness of operational schedules in the presence of uncertainty
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computing, the approach is fundamentally different from a conceptual point of view. In this project we aim to devise and test novel approaches to solving hard optimization problems, problems which are