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Field
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materials. The role focuses on developing cutting‑edge simulation tools and contributing to bespoke high‑rate experiments within Oxford’s Impact Engineering Laboratory. You will be responsible
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simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling Large-scale computing, cloud-native analytics workflows, and data engineering for mobility platforms AI/ML
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discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials. Candidates who are nearing completion
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correction, or many-body quantum systems. o Proficiency in numerical simulations (e.g., tensor networks, quantum circuit modeling). · For Experimentalists: o PhD in atomic/molecular/optical (AMO) physics
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. The candidate will reduce model uncertainties by producing new large cosmological simulations of the magnetic outputs from galaxies in the ENZO code, which will test realistic implementations of baryonic feedback
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mathematical tools and financial models for capturing complex market dynamics . Assets, principal investigator Prof. Dr. Ciprian Andrei Tudor. The position is for a fixed term until June 30, 2026. Candidates
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
Ideal candidates should hold a Ph.D. in Electrical Engineering, Applied Physics, Physics, or a closely related field. Required expertise includes design and simulation of integrated photonic components
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modeling approaches-including machine learning (ML), hydrologic and energy systems simulations, and scenario forecasting-to evaluate dynamic energy-water futures and resilience strategies for diverse Idaho
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designed for multiwavelength cosmological modelling. Once in hand, the candidate will use the simulations to explore novel analysis methods with the goal of applying them to data. Collaborative endeavours
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highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud