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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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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 40 minutes 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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- Custom Computing Performance Benchmarking Job description About the job: Play a key role within QUB's strategic Centre for Secure Information Technology (CSIT) and engage in challenging research projects
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Übersicht Doctoral Position in neutral-atom quantum computing 100%, Zurich, fixed-term Drucken The newly established Atom Quantum Processing (AQP) group , led by Prof. Konrad Viebahn, at the
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computing. ScaleQ will develop bulk and integrated photonic systems for measurement-based Gaussian boson sampling (MBGBS), using squeezed light, multimode entanglement and photonic integrated circuits to
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. Familiarity with uncertainty modelling, stochastic programming, robust optimization, or real-time decision-making. Interest in quantum computing or quantum-inspired optimization methods. Good programming skills
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in quantum computing and algorithms for Life Science applications. Are you as excited about quantum technology and its future applications as we are? We are seeking a doctoral researcher to join the
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, optimization, market microstructure, simulation, forecasting, and large-scale data analysis, drawing on a broad quantitative toolkit to develop new insights and approaches As a Quantitative Researcher
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, optimization, market microstructure, simulation, forecasting, and large-scale data analysis, drawing on a broad quantitative toolkit to develop new insights and approaches. As a Quantitative Research
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 16 hours ago
, 2026 Description This is a unified application form for all positions in the Optimization and Machine Learning Lab at KAUST led by Prof Peter Richtarik, including Research Intern MS/PhD Student PhD