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comfort at the command line, with scripting in Python, R, and/or bash. Familiarity with bioinformatics pipelines and amplicon/metabarcoding or metagenomic data analysis is a strong plus. A willingness to
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or physics Generative AI/transformers, agentic AI, deep learning Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series Strong programming in R and Python; best
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of postdoctoral training. Preferred Qualifications: Strong background in CT imaging, image reconstruction, or computational imaging. Experience with programming languages such as Python, MATLAB, or C
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, with hands-on experience with computational protein design platforms (Rosetta, AlphaFold, ESMFold, or equivalent) and relevant scripting languages (Python, PyMOL scripting, etc.). Choose Duke. Highly
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Python, C#, and JavaScript. Develop and maintain web-based forms and applications, potentially utilizing ASP/.Net (C#) or Python frameworks. Oversee and contribute to software maintenance activities
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for causal inference using software such as R, Python, or Stata; (30%) Assist in preparation of research outputs, including figures, tables, reports, and academic manuscripts; support replication and
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graduates from Duke or NCCU. • B.S. in Mathematics, Computer Science, or another quantitative field. • Proficiency with data analysis in Python or R, and SQL. • Experience with creating dashboards or other
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. Minimum Requirements: Bachelor’s degree in a quantitative, scientific, or computational discipline, or equivalent experience. Strong proficiency in scientific programming and analysis (e.g., Python, MATLAB
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experience developing automated solutions, data integrations, and applications to improve business processes and efficiency. Knowledge of database structures, Python, SQL and APIs. Experience creating and
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environments. Develop, test, and maintain robust codebases (e.g., Python, SQL) for ongoing analytical tasks, implement version control, and comprehensively document architectural decisions and data extraction