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: Initial appointment is 1 year with the expected renewal after the first year for an additional 1-2 years by mutual agreement. Appointment Start Date: Flexible Start Date Group or Departmental Website: https
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, propensity-score matching). Develop and implement protocol for quality control. Develop reproducible code in Python and/or R for data wrangling, analysis, and visualization. Create analytic files with detailed
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Postdoc Appointment Term: 2 year renewable Appointment Start Date: As early as summer 2025 Group or Departmental Website: http://www.staarlab.com (link is external) How to Submit Application Materials
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Appointment Term: 2 years Appointment Start Date: July 1, 2026 Group or Departmental Website: https://ed.stanford.edu/faculty/ksadow (link is external) How to Submit Application Materials: Fill out
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background in computer systems, server systems (Unix/Linux/Windows) and a general understanding of networking and databases concepts. Working knowledge of Python, Unix, Coldfusion, nodejs, javascript, CSS
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to contribute to all phases of the project, including conception, design, development, implementation, and maintenance. These tools are written in R, C++, and Python and require an in-depth understanding
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, CloudFormation, or Pulumi. Build, deploy, and manage containerized applications using Docker and orchestration platforms (Kubernetes, ECS, etc.). Develop and maintain RESTful and/or GraphQL APIs using Python, Go
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appointment, with potential renewal based on performance Appointment Start Date: September 1, 2025 Group or Departmental Website: https://htdatalab.stanford.edu/ (link is external) How to Submit Application
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learning methodologies, and tools, with a proven ability to apply these in a research context. Strong programming skills, with proficiency in Python and experience with other research software (e.g., R
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QUALIFICATIONS: Minimum 2 years of Statistics, Biostatistics, Bioinformatics or related field experience preferred. Experience using machine learning algorithms in Prism, MATLAB, and Python. Skilled in R, SQL, C