153 coding-"https:"-"https:"-"https:"-"https:"-"Dr" Postdoctoral positions in United States
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and quantification Demonstrated expertise in design and implementation of multi-physics codes for metal AM applications including thermo-mechanical response as well as microstructure and phase
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massively parallel algorithms and code performance profiling are a plus. Special Requirements: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must
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related field. Experience with finite element simulations and developing constitutive models. Knowledge of high temperature creep crack growth. Knowledge of engineering design codes such as the ASME Boiler
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with DFT or electronic-structure codes such as VASP, Quantum ESPRESSO, CP2K, ABINIT, GPAW, Gaussian, ORCA, Q-Chem, or related packages. Strong materials science or chemistry domain knowledge, such as
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parallel finite element and numerical simulation codes. Design, run, and document computational experiments. Present research results at conferences and collaborative meetings. Contribute to the scientific
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. Solid state physics; thermodynamics and kinetics; Python coding and machine learning skills. Additional Application Materials Required: Special Instructions to the Applicants: The Ph.D. must be conferred
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. ● Contribute to open-source code and reproducible pipelines. Basic Qualifications ● PhD (completed or near completion) in Statistics, Biostatistics, Data Science, Computer Science or a closely related field
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 7 days ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0049-NPP-MAR26-LRC-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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science methods application and dissemination Demonstrated proficiency through previous developed analytical codes with R Language for Statistical computing, and qualitative analysis using NVivo
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distributed codes using MPI, OpenMP, CUDA, ROCm, and related HPC technologies while bridging theoretical AI models with real hardware constraints. Cross‑Paradigm Integration(new optional emphasis): Explore how