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numerical branch-following (continuation) methods. Knowledge of solid-to-solid phase transformations such as Martensitic Transformations and/or Reconstructive Transformations. Demonstrated ability or interest
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challenges and conduct the research needed to accelerate the delivery of solutions to the marketplace. The Radiation Transport and HPC Methods (RTHPCM) Group within the Nuclear Applications Methods and Data
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an interdisciplinary locus for world-class research and training in pharmacoepidemiology at Rutgers. Over the past 8 years, PETS has developed into a major research group, recruiting numerous new core, part-time, and
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appointment is for one year, renewable for a second year pending satisfactory performance and availability of funding. Research topics of interest include numerical methods for scientific machine learning and
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for geometric PDEs, in particular for fluid problems posed on surfaces. Both theoretical analysis of numerical methods and code development. Job requirements: PhD in mathematics or applied mathematics, experience
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processes and particle acceleration in geospace. Research activities will integrate observational data analysis, theoretical modeling, and numerical simulations to advance our understanding of magnetospheric
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quantum optics to support and advance quantum science research. The position involves theoretical modeling of quantum optical and many-body systems, numerical computation using advanced integration and
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Knowledge on numerical linear algebra, numerical methods, high performance computing, or other related fields Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed Term) Time
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, turbulence, CFD, numerical methods, and turbulent combustion. • Proficiency in HPC environments (parallel computing on CPU/GPU systems) • Demonstrated publication record in reputable journals/conferences
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security. We utilize our expertise in numerical discretization techniques, high performance computing, mesh generation, and geometry representation for a wide variety of physics applications. Our intention