151 coding-"https:"-"https:"-"https:"-"UCL"-"UCL"-"UCL" Postdoctoral positions in United States
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National Aeronautics and Space Administration (NASA) | Huntsville, Alabama | United States | about 5 hours ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0021-NPP-NOV26-MSFC-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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others as described in the Duke University School of Medicine Honor Code of Professional Conduct and other relevant conduct policies pertaining to other schools at Duke University. Compliance with all
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interviews with caregivers, medical professionals, and clinic administrators; observational coding; and data analysis and manuscript preparation. For candidates working toward psychologist licensure, there may
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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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artifacts (journal articles). Almost all of our simulation codes require a mesh to discretize the spatial domain of interest. For some applications, generating this mesh has historically been a labor
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transfer, non-equilibrium phenomena in realistically large solid/solid, solid/liquid, solid/gas interfacial systems. Code implementation of spectroscopic modules in electronic structure theory software
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to a multidisciplinary program exploring drivers and seasonality of WNV in a multi-species system. They will write code, use models and other quantitative or statistical analyses within life science
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investigation of ultrafast charge transfer, non-equilibrium phenomena in realistically large solid/solid, solid/liquid, solid/gas interfacial systems. Code implementation of spectroscopic modules in electronic
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frameworks linking molecular interactions to cellular and network-level behavior (e.g. protein-protein interaction, PPI, network analysis) Optimize simulation codes and workflows for leadership-class HPC
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large, complex healthcare datasets, preferably MarketScan or similar Familiarity with ICD, CPT, and NDC coding systems Proficiency in SAS or R for data cleaning and analysis Commitment to writing clear