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postdoctoral candidate has an MD and/or PhD in neuroscience or related field and extensive experience with rodent neuroscience. Excellent analytical skills, e.g., Python & Matlab, are strongly preferred, as is
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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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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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GIS software and Python, strong written and interpersonal communication skills, and a demonstrated interest in addressing social justice issues through data-driven research. The postdoc will work in
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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
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or Python (preferably both), with excellent reproducible coding style, and in cleaning and merging large datasets. This role is open to candidates anywhere in the United States; however, applicants must be
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attention to detail. * Ability to work independently with minimal supervision, with effective communication skills. * Experience with additional programming languages such as SQL, Stata, R, and Python
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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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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