103 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions in United States
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engine modeling code. Perform high-fidelity CFD simulations of turbulent and reacting flows pertaining to gas turbines and detonation engines using spectral element method (SEM). Perform scalability
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by working on research projects in AI safety and robotics, contributing across the full research lifecycle: algorithm and system design, code development, experimental validation, and scientific
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grant writing or contributing to funded projects. Strong coding experience using R and Python for data analysis. Expertise in the biological interpretation of multi-omics datasets (RNA-seq, proteomics
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of the research group and 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
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international datasets (specifically Sub-Saharan Africa). Prior experience with clinical or healthcare data (EHR, registries). High proficiency in coding with R or Python for data cleaning, analysis, and
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high energy physics, astrophysics, and/or cosmology, ideally with an already established facility with standard cosmological codes and comfort with the basics of axions and/or scalar field theory
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contextual observations. Data Analysis & Interpretation Lead the coding, analysis, and interpretation of qualitative data from interviews and focus groups using systematic qualitative methods (e.g., thematic
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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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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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methods applied to behavioral or health data Experience with qualitative data collection (e.g., semi-structured interviews, focus groups, human-centered design workshops, coding) Experience with human